SEE MORE MAKE MORE: Secondary Electron Energy Measurement Optimisation for Reliable Manufacturing of Key Materials
Lead Research Organisation:
University of Sheffield
Department Name: Materials Science and Engineering
Abstract
Additive manufacturing (AM), or 3D printing, is an exciting new form of industrial production that promises to revolutionise sectors as diverse as healthcare, energy, aerospace, and transport. By allowing stronger, lighter, and more complex components to be formed from a variety of materials, AM will play a critical role in meeting emerging technological needs over the coming decades. One area in which AM is already generating huge excitement is in bone tissue engineering for the production of implants for patients who have degenerative diseases or who need, for example, facial reconstruction following an accident or cancer. However, making large and load-bearing implants reproducibly is still a significant challenge. AM theoretically allows the reproduction of extremely complex geometries while also accounting for variation in the structural, mechanical, and cellular properties of bone tissue. Such flexibility will be essential to produce load-bearing 3D printed bones that have the strength to replace metal-based implants but which also mimic intricate vascular networks.
Much of the flexibility of AM arises from its use of composites which combine the desirable properties of several different materials. Increasingly, in a form of AM that uses a laser to continually melt (sinter) the composite material, polymers are mixed with nano-carbon to make materials stronger and more conductive. However, an outstanding challenge in the field is to ensure that the carbon is evenly distributed throughout the matrix polymer to produce printed components with reliable properties. We also need to be able to monitor nanocarbon distribution in real time during AM which will require new, innovative methods of advanced metrology.
Using the unique facilities and experience of our team, we will address these engineering challenges to provide the AM community with a step-change in their ability to produce bespoke high-quality components. To do this, we will build on significant breakthroughs we have recently made in developing new methods of hyperspectral imaging, that is, techniques that allow us to map the chemical and structural properties of a material and how these change under different conditions. Using electrons as a probe provides information on how nanocarbon particles interact with each other and their environment, for example, when heated with a laser. Such information is critical to optimise AM processes but, because this technique operates at the nanometer level, it is not practical for monitoring whole components whilst they are printed. For this, we will use another method of hyperspectral imaging based on thermal emission, similar to how we can measure temperature from the familiar glow emitted by hot coal in a fire. By combining these methods of electron imaging and thermal emission detection, we will be able to control how nanocarbon is distributed throughout a composite material and how this affects critical macroscale properties such as porosity, conductivity, strength, and surface finish. Together, this new hyperspectral imaging framework will benefit researchers and industry using AM for various applications leading to gains in cost, yield, energy efficiency, and lifetime.
Once our framework is established, we will demonstrate its effectiveness by applying it to AM of bone tissue scaffolds from a novel composite we will develop containing nanocarbon mixed with a biocompatible polymer. By optimizing the laser heating process and controlling nanocarbon distribution and state, we will make scaffolds that are fit for clinical use, as validated through tests with our industry partner Lucideon. Other partners include NPL, ASTeC, YPS, Spintex, and FBK who will enhance the impact of our project through applications in Li ion batteries, pharmaceuticals, energy materials, and accelerator technologies.
Much of the flexibility of AM arises from its use of composites which combine the desirable properties of several different materials. Increasingly, in a form of AM that uses a laser to continually melt (sinter) the composite material, polymers are mixed with nano-carbon to make materials stronger and more conductive. However, an outstanding challenge in the field is to ensure that the carbon is evenly distributed throughout the matrix polymer to produce printed components with reliable properties. We also need to be able to monitor nanocarbon distribution in real time during AM which will require new, innovative methods of advanced metrology.
Using the unique facilities and experience of our team, we will address these engineering challenges to provide the AM community with a step-change in their ability to produce bespoke high-quality components. To do this, we will build on significant breakthroughs we have recently made in developing new methods of hyperspectral imaging, that is, techniques that allow us to map the chemical and structural properties of a material and how these change under different conditions. Using electrons as a probe provides information on how nanocarbon particles interact with each other and their environment, for example, when heated with a laser. Such information is critical to optimise AM processes but, because this technique operates at the nanometer level, it is not practical for monitoring whole components whilst they are printed. For this, we will use another method of hyperspectral imaging based on thermal emission, similar to how we can measure temperature from the familiar glow emitted by hot coal in a fire. By combining these methods of electron imaging and thermal emission detection, we will be able to control how nanocarbon is distributed throughout a composite material and how this affects critical macroscale properties such as porosity, conductivity, strength, and surface finish. Together, this new hyperspectral imaging framework will benefit researchers and industry using AM for various applications leading to gains in cost, yield, energy efficiency, and lifetime.
Once our framework is established, we will demonstrate its effectiveness by applying it to AM of bone tissue scaffolds from a novel composite we will develop containing nanocarbon mixed with a biocompatible polymer. By optimizing the laser heating process and controlling nanocarbon distribution and state, we will make scaffolds that are fit for clinical use, as validated through tests with our industry partner Lucideon. Other partners include NPL, ASTeC, YPS, Spintex, and FBK who will enhance the impact of our project through applications in Li ion batteries, pharmaceuticals, energy materials, and accelerator technologies.
Organisations
- University of Sheffield (Lead Research Organisation)
- University of Leeds (Collaboration)
- UNIVERSITY OF YORK (Collaboration)
- University of Salerno (Collaboration)
- Leibniz Institute for Plasma Science and Technology (Collaboration)
- Cracow University of Technology (Collaboration)
- Witten/Herdecke University (UWH) (Collaboration)
- Diamond Light Source (Collaboration)
- Loughborough University (Collaboration)
- University of Oxford (Collaboration)
- University of Queensland (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- STFC Swindon Office (Project Partner)
- Bruno Kessler Foundation FBK (Project Partner)
- National Physical Laboratory (Project Partner)
- Lucideon (United Kingdom) (Project Partner)
- Spintex Engineering Ltd (Project Partner)
- York Probe Sources Ltd (Project Partner)
Publications
Davies M
(2022)
Aerosol jet printing polymer dispersed liquid crystals on highly curved optical surfaces and edges.
in Scientific reports
Davies M
(2022)
Image Correction and In Situ Spectral Calibration for Low-Cost, Smartphone Hyperspectral Imaging
in Remote Sensing
Elghazy E
(2025)
Capturing microalgae within aerosols provides carbon capture bio-functionality
in Journal of CO2 Utilization
Farr N
(2024)
Uncovering the relationship between macrophages and polypropylene surgical mesh
in Biomaterials Advances
Farr N
(2024)
Strengthening preclinical testing to increase safety in surgical mesh
in Nature Reviews Urology
Farr N
(2023)
Regulating the formation and extent of crazing through the application of argon plasma surface functionalisation
in Polymer Testing
Farr N
(2023)
Characterization and quantification of oxidative stress induced particle debris from polypropylene surgical mesh
in Nano Select
Farr NTH
(2022)
Revealing Localised Mechanochemistry of Biomaterials Using In Situ Multiscale Chemical Analysis.
in Materials (Basel, Switzerland)
Farr NTH
(2023)
Characterization in respect to degradation of titanium-coated polypropylene surgical mesh explanted from humans.
in Journal of biomedical materials research. Part B, Applied biomaterials
| Title | Archival Scanning Electron Microscope (SEM) images of various material systems. |
| Description | SEM Images featured in the BBC series called 'Big and Small'. Produced by Furnace Films for BBC4. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2022 |
| URL | https://figshare.shef.ac.uk/articles/media/Archival_Scanning_Electron_Microscope_SEM_images_of_vario... |
| Title | Archival Scanning Electron Microscope (SEM) images of various material systems. |
| Description | SEM Images featured in the BBC series called 'Big and Small'. Produced by Furnace Films for BBC4. |
| Type Of Art | Image |
| Year Produced | 2022 |
| Impact | SEM Images featured in the BBC series called 'Big and Small'. Produced by Furnace Films for BBC4. |
| URL | https://figshare.shef.ac.uk/articles/media/Archival_Scanning_Electron_Microscope_SEM_images_of_vario... |
| Title | Engineering Reborn - SEM Image collection |
| Description | SEM Image collection used for the TV show "Engineering Reborn". In this returnable series, we explore the engineering challenges behind transforming abandoned architecture, into the structures of the future. Pioneer Television and Film Productions Limited at No.1 Smiths Square, 77-85 Fulham Palace Road, London W6 8JA. |
| Type Of Art | Image |
| Year Produced | 2022 |
| Impact | Images used for a TV documentary |
| URL | https://figshare.shef.ac.uk/articles/figure/Engineering_Reborn_-_SEM_Image_collection/20631357 |
| Title | Engineering Reborn - SEM Image collection |
| Description | SEM Image collection used for the TV show "Engineering Reborn". In this returnable series, we explore the engineering challenges behind transforming abandoned architecture, into the structures of the future. Pioneer Television and Film Productions Limited at No.1 Smiths Square, 77-85 Fulham Palace Road, London W6 8JA. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2022 |
| URL | https://figshare.shef.ac.uk/articles/figure/Engineering_Reborn_-_SEM_Image_collection/20631357 |
| Description | Powders are widely used in manufacturing. This includes carbon blacks, commonly used in manufacturing of batteries, fuel cells, and powder metallurgical applications, as well as polymer powders. The presence and nanoscale distribution of chemical bonds on the surfaces of powders can determine key performance parameters such as the lifetime of products that use such powders. Knowledge of the nanoscale distribution of chemical bonds at powder surfaces can improve various products, some of which are vital for reaching net zero or in healthcare products. For instance, we are increasing our understanding of secondary electron spectroscopy of a series of transition metal oxides, in particular those with application towards common chemical products and some implants. We have developed novel techniques to inspect powder surfaces for their nanoscale bonding, together with a visualisation tool to aid interpretation of the results. We are now exploring with relevant companies how these data can be used in their R&D. We have found that the same visualisation tool can be used to detect the presence of local chemical changes in surgical implants at fibre surfaces very early, for example in polypropylene meshes for pelvic floor repair. In particular, we have been able to detect minute and localised changes in the fibre surfaces resulting from the exposure to macrophages (cells that regulate tissue repair and maintenance), and that such surface changes in return affect the macrophages. This finding opens up new and unexpected opportunities to predict implant failure based on very subtle changes at the implant surface. It has opened up new opportunities for improving tissue engineering, which we have begun to explore in new collaborations. This has enabled us to detect the earliest signs of damage including the formation of unwanted particles in explanted pelvic mesh materials. In addition advancements of the current-state-of the-art methods were achieved towards AI-driven and automated analysis of materials at micro- and nano- levels. For example, unsupervised machine learning methods for secondary electron hyperspectral imaging (SEHI) were developed and validated over different materials for carbon films and metal alloys. The method combines spatial and spectral properties of materials and provides accurate chemical analysis. This advancement can speed up the efficiency of materials analysis and save days of manual inspection. An open-access AI-assisted data analytics tool was developed and a respective accompanying paper, together with several data repositories with different materials. These are the first public repositories with real SEHI data for a range of imported engineering materials. |
| Exploitation Route | Data might be used by other as reference in many sectors, software tools might be used in many sectors to discover, visualise and understand micro and nanoscale chemical variations. on powder, fibre or film surfaces that when undetected so far but is likely to be responsible for performance limits and unexpected failures. As such variation can impact performance limits and failure mechanisms we received enquires from different sectors (see below) and started to establish feasibility for use in specific manufacturing techniques and industrial R&D settings (funded by Industry). With support from The Urology Foundation and Medical Research Council (MRC) through the Confidence in Concept scheme we looked at poorly understood failures mechanism of pelvic floor mesh implants. |
| Sectors | Electronics Energy Environment Healthcare Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology |
| Description | Understanding failure of materials is particularly important in the context of medical implants that could lead to patient harm. A pause on the use of vaginal mesh implants for the treatment of uro-gynaecological conditions (stress urinary incontinence ('SUI') and pelvic organ prolapse ('POP')) is in place in the UK and other countries. We have started to apply the tools developed in this project to identify the failure mechanisms involved. Our first publication in this area gained attention from members of the public, Practitioners (doctors and other healthcare professionals) and other scientists not just within the UK but also in Poland, Australia, United States, Nigeria, Netherlands, France and Germany. This exposure has led to new international collaborations which will inform the development of new implant materials. Resulting from these new collaborations, new findings published in 2024 were picked up and featured in over 400 media outlets across the world and led a patient support group with ~10000 members to call for action. AI-assisted data analytical tools for Secondary Electron Hyperspectral Imaging (SEHI) developed which automates the analysis of materials at micro- nanoscale levels. The software empowers material scientists, industry and end users with a new functionality, with a high level of efficiency and automation. Case studies include Metal alloy and Carbon film, but the AI software is applicable to SEHI images from other materials. The software is publicly available and its functionality was demonstrated during a tutorial workshop. Data sets are also made available (open access repository) and are downloaded widely. Applicable to a range of materials, and being an open access software, it stimulates a transformation of the research culture and affords reproducible research. Our tools are also currently being applied and evaluated by industry in the context of R&D aiming to provide better solutions for specific materials systems. |
| First Year Of Impact | 2022 |
| Sector | Energy,Healthcare |
| Impact Types | Societal |
| Description | Communication with Patient Safety Commissioner |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | JM Ref: 769879 / EP-2023-0032 UoS Ref: 182228 |
| Amount | £34,902 (GBP) |
| Organisation | Johnson Matthey |
| Sector | Private |
| Country | United Kingdom |
| Start | 08/2023 |
| End | 06/2024 |
| Description | MRC Confidence in Concept Project - Reducing risks and accelerating development of biomaterials for use in the pelvic floor by introducing a new surface imaging technique |
| Amount | £31,833 (GBP) |
| Organisation | University of Sheffield |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 03/2023 |
| Description | Planned work on investigations in to the laser marking of surgical instruments and medical device materials using modern laser technologies |
| Amount | £5,000 (GBP) |
| Organisation | European Union |
| Sector | Public |
| Country | European Union (EU) |
| Start | 02/2023 |
| End | 03/2023 |
| Description | Ptycho-tomography for composite 3D printing |
| Amount | £70,000 (GBP) |
| Organisation | Diamond Light Source |
| Sector | Private |
| Country | United Kingdom |
| Start | 04/2021 |
| End | 05/2021 |
| Description | Ptycho-tomography for composite 3D printing for Tissue Engineering |
| Amount | £70,000 (GBP) |
| Organisation | Diamond Light Source |
| Sector | Private |
| Country | United Kingdom |
| Start | 12/2022 |
| End | 12/2022 |
| Description | Sustainable manufacture of biodegradable film packaging from recalcitrant waste streams |
| Amount | £758,964 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 05/2026 |
| Description | X-ray tomography for 3D bioprinting |
| Amount | £40,000 (GBP) |
| Organisation | Diamond Light Source |
| Sector | Private |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 04/2023 |
| Title | CSEHI MATLAB Application (CSEHI_app 1.0) |
| Description | The packaged MATLAB application is a data processing tool to enable colouring of hyperspectral image volume datasets from secondary electron hyperspectral imaging (SEHI). The use of this application is described in https://doi.org/10.1016/j.elspec.2019.07.004 |
| Type Of Material | Data analysis technique |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This application has been downloaded 110 times. |
| URL | https://orda.shef.ac.uk/articles/software/CSEHI_app_1_0/21647090?file=40914008 |
| Title | Data Package for "Assessing the quality of Oxygen-Plasma focused ion beam (O-PFIB) etching on polypropylene surfaces using Secondary Electron Hyperspectral Imaging" |
| Description | Data Package for "Assessing the quality of Oxygen-Plasma focused ion beam (O-PFIB) etching on polypropylene surfaces using Secondary Electron Hyperspectral Imaging" https://doi.org/10.3390/polym15153247 Please read Article: https://doi.org/10.3390/polym15153247 to understand the data presented. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://figshare.shef.ac.uk/articles/dataset/Data_Package_for_Assessing_the_quality_of_Oxygen-Plasma... |
| Title | Data Package for "Assessing the quality of Oxygen-Plasma focused ion beam (O-PFIB) etching on polypropylene surfaces using Secondary Electron Hyperspectral Imaging" |
| Description | Data Package for "Assessing the quality of Oxygen-Plasma focused ion beam (O-PFIB) etching on polypropylene surfaces using Secondary Electron Hyperspectral Imaging" https://doi.org/10.3390/polym15153247 Please read Article: https://doi.org/10.3390/polym15153247 to understand the data presented. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This dataset has been downloaded 93 times. |
| URL | https://orda.shef.ac.uk/articles/dataset/Data_Package_for_Assessing_the_quality_of_Oxygen-Plasma_foc... |
| Title | Data Package for "Revealing localised mechanochemistry of biomaterials using in-situ multiscale chemical analysis" |
| Description | Data Package for 'Revealing localised mechanochemistry of biomaterials using in-situ multiscale chemical analysis', Materials, 2022, 15(10), 3462. https://doi.org/10.3390/ma15103462. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://figshare.shef.ac.uk/articles/dataset/Data_Package_for_Revealing_localised_mechanochemistry_o... |
| Title | Data Package for "Revealing localised mechanochemistry of biomaterials using in-situ multiscale chemical analysis" |
| Description | Data Package for 'Revealing localised mechanochemistry of biomaterials using in-situ multiscale chemical analysis', Materials, 2022, 15(10), 3462. https://doi.org/10.3390/ma15103462. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This data set was published in conjunction with the following publication : Farr NTH. Revealing Localised Mechanochemistry of Biomaterials Using In Situ Multiscale Chemical Analysis. Materials (Basel). 2022 May 11;15(10):3462. doi: 10.3390/ma15103462. PMID: 35629492; PMCID: PMC9144768. It contains Secondary Electron Spectra form the same material but under compressive or tensile stress. It can could be used to detect the presence/absence of local tensile/compressive stresses through Seconadry Electron Spectroscopy/ Secondary Elecgtron Hyperspectral Imaging without the need for mechanical testing. The dataset has been downloaded 200 times. |
| URL | https://figshare.shef.ac.uk/articles/dataset/Data_Package_for_Revealing_localised_mechanochemistry_o... |
| Title | Data for 'Insights into surface chemistry down to nanoscale: An accessible colour hyperspectral imaging approach for scanning electron microscopy' |
| Description | Datasets in 'Insights into surface chemistry down to nanoscale: An accessible colour hyperspectral imaging approach for scanning electron microscopy' |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This was published in conjunction with the article in Materials Today Advances and that can be found at https://doi.org/10.1016/j.mtadv.2023.100413). This article the demonstrates the feasibility of highly surface sensitive chemical imaging in the scanning electron microscope (SEM) by introducing colour enriched secondary electron hyperspectral imaging (CSEHI) as a new concept in the the use of SEMs. This dataset comprises raw data and relevant meta data from materials relevant to Art History, Energy Materials Engineering and Zoology. It is provided together with a software tool (accessible via https://doi.org/10.15131/shef.data.21647090.v1) , such that users from the aforementioned fields can train themselves in the use of the software tool introduced in the article or to use as reference spectra for their work. The data were downloaded 1,035 times |
| URL | https://figshare.shef.ac.uk/articles/dataset/Data_for_Insights_into_surface_chemistry_down_to_nanosc... |
| Title | Data for 'Low-voltage SEM of air-sensitive powders: From sample preparation to micro/nano analysis with secondary electron hyperspectral imaging' |
| Description | SEHI data volumes included in 10.1016/j.micron.2022.103234.For methodology of preparation, collection and data processing see section 5 of the published article.Corresponding SEHI data volume metadata in .json format. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This dataset contains first hyperspectral secondary electron data collected from powders (used as Cathode materials in Lithium Ion batteries, Composite powders used for powder 3D printing) and can help other researchers to identify surface functional groups that are present on individual powder particles but remain hidden from many traditional characterisation methods. The datasets have been downloaded 1,668 times. |
| URL | https://figshare.shef.ac.uk/articles/dataset/Data_for_Low-voltage_SEM_of_air-sensitive_powders_From_... |
| Title | Data package for "Revealing The Morphology of Ink and Aerosol Jet Printed Palladium-Silver Alloys Fabricated from Metal Organic Decomposition Inks" |
| Description | Palladium films hold signicance due to their remarkable affinity for hydrogen diffusion, rendering them valauble for the seperation and purification of hydrogen in membrane reactors. However, palladium is expensive, and its films can become brittle after only a few cycles of hydrogen separation. Alloying with silver has been shown to overcome the problem of palladium embrittlement. Palladium-silver films have been produced via several methods but all have drawbacks, such as difficulties controlling the alloy composition. This study explores two promising jet printing methods: Inkjet and Aerosoljet. Both methods offer potential advantages such as direct patterning, which reduces waste, enables thin film production, and allows for the control of alloy composition. For the first time, palladium-silver alloys have been produced via inkjet printing using a palladium-silver metal organic decomposition (MOD) ink, which alloys at a temperature of 300 °C with nitrogen. Similarly, this study also demonstrates a pioneering approach for Aerosol Jet printing, showing the potential of a novel room-temperature method, for the deposition of palladium-silver MOD inks. This low temperature approach is considered an important development as palladium-silver MOD inks are originally designed for deposition on heated substrates.Contact: SM3 (SEE MORE MAKE MORE) project PI, Professor Cornelia Rodenburg, c.rodenburg@shefield.ac.uk. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Data set has been downloaded 32 times since publication. |
| URL | https://orda.shef.ac.uk/articles/dataset/Data_package_for_Revealing_The_Morphology_of_Ink_and_Aeroso... |
| Title | SEHI (Secondary Electron Hyperspectral Imaging) dataset of Metal alloy and Carbon film (Palladium Silver Carbon complex film) |
| Description | Contact: SM3 (SEE MORE MAKE MORE) project PI, Professor Cornelia Rodenburg, c.rodenburg@shefield.ac.uk.This data repository can be used as benchmark data for the purpose of material characterization, particularly for investigating nanostructures in materials using SEHI (Secondary Electron Hyperspectral Imaging), as well as research in instrumentations (Scanning Electron Microscopy), and advanced image processing and data analysis (computer vision and machine learning) techniques.The complex metal alloy (palladium silver, abbreviated as PdAg) and carbon films were printed by University of Liverpool, and a Helios Nanolab G3 UC microscope was used to acquire the raw image stacks [1]. One can find information from [1] regarding the sample preparation, and experimental conditions. This dataset contains four processed SEHI stacks (cropped), and the associated metadata.[1] Abrams, K.J., Dapor, M., Stehling, N., Azzolini, M., Kyle, S.J., Schäfer, J., Quade, A., Mika, F., Kratky, S., Pokorna, Z., et al., 2019. Making sense of complex carbon and metal/carbon systems by secondary electron hyperspectral imaging. Advanced Science 6, 1900719. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This dataset can be can be used as benchmark data for the purpose of material characterization of Silver , Palladium, Carbon films Downloaded 170 times |
| URL | https://figshare.shef.ac.uk/articles/dataset/SEHI_Secondary_Electron_Hyperspectral_Imaging_dataset_o... |
| Title | pysehi releases |
| Description | This a tool that facilitates the preprocessing of Secondary Electron Hyperspectral Imaging datasets collected in Scanning Electron Microscopes with methods described in https://doi.org/10.1016/j.micron.2022.103234 |
| Type Of Material | Data analysis technique |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This tool has been downloaded 393 times. |
| URL | https://orda.shef.ac.uk/articles/software/pysehi_releases/22310068 |
| Description | Cracow University of Technology - Carbon Black investigations |
| Organisation | Cracow University of Technology |
| Country | Poland |
| Sector | Academic/University |
| PI Contribution | Sharing of sample materials. Sharing of analysis equipment. Joint publication submitted. |
| Collaborator Contribution | Sharing of analysis equipment. Joint publication submitted. |
| Impact | Submitted publication |
| Start Year | 2022 |
| Description | Department of Chemistry and Biology, University of Salerno: Surface functionalisation of carbon black |
| Organisation | University of Salerno |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Analysis of materials |
| Collaborator Contribution | Provided carbon black materials |
| Impact | Paper submitted. |
| Start Year | 2023 |
| Description | Department of Obstetrics and Gynecology Rheinlandclinics Dormagen, University of Witten Herdecke: Titanium-coated polypropylene surgical mesh explanted from humans |
| Organisation | Witten/Herdecke University (UWH) |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analysis of Explanted mesh |
| Collaborator Contribution | Sharing of explanted materials |
| Impact | https://onlinelibrary.wiley.com/doi/10.1002/jbm.b.35221 |
| Start Year | 2022 |
| Description | Diamond Lightsource |
| Organisation | Diamond Light Source |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | expertise, intellectual input and materials to demonstrably push boundaries of equipment on I-13-1 |
| Collaborator Contribution | expertise, intellectual input and help with data analysis |
| Impact | multiple joint paper drafts in preparation |
| Start Year | 2021 |
| Description | INP Greifswald |
| Organisation | Leibniz Institute for Plasma Science and Technology |
| Country | Germany |
| Sector | Public |
| PI Contribution | provide expert knowledge gained during this grant |
| Collaborator Contribution | Collected supporting data using their equipment and provide equipment on loan to UoS |
| Impact | several joint publications https://doi.org/10.1002/advs.201801752 https://doi.org/10.1002/advs.201900719 |
| Start Year | 2017 |
| Description | Loughborough University (SM3) |
| Organisation | Loughborough University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sharing of samples and technical assistance through the training of SEHI. |
| Collaborator Contribution | Equipment access to upload SEHI protocols. Technical assistance through the application of SEHI |
| Impact | Paper currently in drafting |
| Start Year | 2021 |
| Description | Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland: Quantification of oxidative stress induced particle debris from polypropylene surgical mesh |
| Organisation | University of Queensland |
| Department | Queensland Alliance for Environmental Health Sciences |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Analysis of Materials. Supply of materials. |
| Collaborator Contribution | Analysis of materials. |
| Impact | Publication under review @ nanoselect |
| Start Year | 2022 |
| Description | University of Leeds (SM3) |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sharing of samples and technical assistance through the training of SEHI. |
| Collaborator Contribution | Equipment access to upload SEHI protocols. Technical assistance through the application of SEHI and training for cryo-SEM |
| Impact | Paper currently undergoing drafting |
| Start Year | 2021 |
| Description | University of Liverpool |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | data, intellectual input on data processing/ analysis |
| Collaborator Contribution | intellectual input on material |
| Impact | information added to database |
| Start Year | 2023 |
| Description | University of Oxford |
| Organisation | University of Oxford |
| Department | Department of Materials |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | expertise, intellectual input or the training of staff |
| Collaborator Contribution | access to data, equipment or facilities |
| Impact | Paper: Low-voltage SEM of air-sensitive powders: from sample preparation to micro/nano analysis with Secondary Electron Hyperspectral Imaging DOI: 10.1016/j.micron.2022.103234 |
| Start Year | 2021 |
| Description | University of York (SM3) |
| Organisation | University of York |
| Department | Department of Physics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sharing of samples and technical assistance through the training of SEHI. |
| Collaborator Contribution | Technical assistance through the development of novel SE electron detectors. Providing access to XPS system. |
| Impact | Paper currently undergoing drafting |
| Start Year | 2021 |
| Title | AI-assisted Data Analytical Tool for Secondary Electron Hyperspectral Imaging (in Matlab) |
| Description | This repository provides AI-assisted Data Analytical Tool for Secondary Electron Hyperspectral Imaging (SEHI) and Scanning Electron Microscope (SEM) derived Secondary Electron (SE) spectroscopy. It is Matlab implementation of machine learning approach presented in the paper ''Towards Automated Chemical Analysis of Materials Using Secondary Electron Hyperspectral Imaging and Unsupervised Learning'', which can be used for high-throughput chemical analysis of materials at the micro- and nano-scale.This work is supported by the UK EPSRC EP/V012126/1 the grant ''SEE MORE, MAKE MORE: Secondary Electron Energy Measurement Optimisation for Reliable Manufacturing of Key Materials''. Contact: SM3 (SEE MORE MAKE MORE) project PI, Professor Cornelia Rodenburg, c.rodenburg@shefield.ac.uk. We also acknowledge the support from Insigneo Institute for In Silico Medicine in Sheffield.This repository contains the Matlab source code of this proposed approach, ReadMe file, license, and example data [1] for demo. For code details and user guidance, please see the ReadMe file in the folder. This given example data is a processed SEHI image stack of printed Metal alloy and Carbon film (Palladium Silver Carbon complex film). More example data is given from our database [1]. More relevant details about the example can also be found from the paper [2].Please note: this Matlab code package requires Matlab R2019a or latter installed. It also requires Image Processing Toolbox (for reading image in TIF files) and Statistics and Machine Learning Toolbox (Gaussian mixture model). Part of the code (Dirichlet Process Gaussian Mixture Model) is based on the public MATLAB package available from GitHub [3] by Mo Chen (https://github.com/PRML/PRMLT.git), released under MIT license.Regarding the data pre-processing, we have previously released two tools, one is python implementation [4], and the other is the software [5]. This Matlab code package is compatible with the open-source python tool [4]. Please check the available tools depending on your needs.If you find any issues or have suggestions, please contact with Jingqiong Zhang (jingqiong.zhang@sheffield.ac.uk). Please cite this repository inline with MIT license when using the code in your work. [1] J. Zhang, J. Nohl, N. Farr, L. Mihaylova, C. Rodenburg, K. Abrams, K. Black, ''SEHI (Secondary Electron Hyperspectral Imaging) dataset of Metal alloy and Carbon film (Palladium Silver Carbon complex film),'' The University of Sheffield, Dataset, https://doi.org/10.15131/shef.data.22202923.v1, 2023.[2] K. Abrams, M. Dapor, N. Stehling, M. Azzolini, S. Kyle, J. Schäfer, A. Quade, F. Mika, S. Kratky, Z. Pokorna, I. Konvalina, D. Mehta, K. Black, C. Rodenburg, ''Making Sense of Complex Carbon and Metal/Carbon Systems by Secondary Electron Hyperspectral Imaging,'' Advanced Science, https://doi.org/10.1002/advs.201900719, 2019.[3] C. Mo, ''Prml:pattern recognition and machine learning,'' https://github.com/PRML/PRMLT.git, 2019.[4] J. Nohl, ''pysehi releases version 1.1.1,'' The University of Sheffield, Software, https://doi.org/10.15131/shef.data.22310068, 2023.[5] J. Nohl, N. Farr, N. Stehling, J. Zhang, F. Longman, G. Ives, L. Mihaylova, C. Holland, C. Rodenburg,''Csehi app 1.0,'' https://doi.org/10.15131/shef.data.21647090.v1, 2023. |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://orda.shef.ac.uk/articles/software/AI-assisted_Data_Analytical_Tool_for_Secondary_Electron_Hy... |
| Title | pysehi releases |
| Description | An archive of pysehi releases The maintained and most up-to-date code is hosted on github at https://github.com/operandos/pysehi |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| URL | https://figshare.shef.ac.uk/articles/software/pysehi_releases/22310068 |
| Title | pysehi releases |
| Description | An archive of pysehi releases The maintained and most up-to-date code is hosted on github at https://github.com/operandos/pysehi |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| URL | https://figshare.shef.ac.uk/articles/software/pysehi_releases/22310068/1 |
| Company Name | PHAsT |
| Description | PHAsT develops sustainable bioplastics to replace replace fossil-derived plastics in personal care products and medical devices. |
| Year Established | 2024 |
| Impact | PHAsT can produce and blend together polyhydroxyalkanoates with a range of different properties from rigid to highly elastomeric behaviour, tunable biodegradability, hence being able to target several applications where different physicochemical properties are required. |
| Website | https://phast-tech.com/ |
| Description | A keynote speech at the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-23) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | This was a key note talk on: "Machine Learning Methods for Sensor Data Fusion and Autonomous Systems". The Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-23) provides leading edge events on various aspects of Sustainable Technology including sustainable buildings, smart energy, sustainable design and manufacturing. It has a community consisting of several thousand research scientists, academics, engineers and practitioners who participate in KES activities. My talk stimulated a discussion about autonomous systems, deep learning methods and evaluation of their resilience. |
| Year(s) Of Engagement Activity | 2023 |
| URL | http://www.kesinternational.org/ |
| Description | A plenary talk at the 6TH IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN ENGINEERING AND TECHNOLOGY, IICAIET 2024 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | In my plenary talk entitled: "Machine Learning Methods for Trustworthy Autonomous Systems", I presented results from my recent projects and raised awareness about the challenges and opportunities. I discussed the advantages and disadvantages of model-based and data-driven machine learning methods and presented recently developed methods with which we can quantify the impact of uncertainties on the developed solutions. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://iicaiet.ieeesabah.org/ |
| Description | Consulting on BBC Documentary |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Consulting on a BBC documentary presented by Jim Al Khalili and directed by Tim Usbourne on the origins and advancement of electron microscopy. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Consulting on Channel 4/ BBC Asia/ SBS Documentary |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Consulting on the Channel 4/ BBC Asia/ SBS Documentary "Engineering Reborn" presented by Passion Distribution. |
| Year(s) Of Engagement Activity | 2022,2023 |
| URL | https://www.sbs.com.au/ondemand/zh-hant/tv-series/engineering-reborn |
| Description | How to Increase Autonomy with Machine Learning Methods, a keynote talk for the 10th International Conference on Signal Processing and Integrated Networks (SPIN 2023) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Abstract of the talk There is a fast development of different machine learning methods - for object classification, tracking, action recognition and other tasks with multiple types of data - from images and videos to time series data. Autonomous image and video analytics faces a number of challenges due to the huge volumes of data that sensors provide, the changeable environmental conditions and other factors. However, it is important to know when the methods work well and when they are not reliable, e.g. how much could we trust the obtained results? How could we characterise trust is a related question. How could we quantify the impact of uncertainties on the developed solutions? This talk discussed current trends in the area of machine learning and show results for image and video analytics for autonomous systems. Automated detection and behaviour analysis is another important area which necessitates unsupervised learning algorithms. Recent results for automated video analytics were presented with Dirichlet process models, deep learning and other methods. Their pros and cons were discussed. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.amity.edu/spin2023/ |
| Description | Interactions with House of Lords and House of Commons |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | I am currently in correspondence with Lady Cumberlege (Member of the House of Lords) and two MPs to support an application for the Royal Society MP/Researcher pairing scheme - https://royalsociety.org/grants-schemes-awards/pairing-scheme/. Lady Cumberlege shares my ideals of the importance of public engagement with science and will be a fantastic partner for this application. Lady Cumberlege and two MPs have shared my research on their social media accounts. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Interview with Storm Newton |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | The interview led to national coverage of our research. In the UK, this included news sources such as The Independent, The Mail, BBC News, ITV News, and Sky News. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.dailymail.co.uk/health/article-13981453/vaginal-mesh-implant-material-degrade-60-days-st... |
| Description | Invited talk on the following topic: "Gaussian Process Methods for Object Detection, Classification, Tracking and Sensor Scheduling with Uncertainty Quantification" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | This talk presented recently developed Gaussian process methods for object detection, tracking and sensor scheduling. Both centralised and decentralised methods were discussed. The power of the methods is especially when dealing with different uncertainties in the sensor data and quantifying their impact on the developed solutions. These can methods are part of safe and reliable autonomy at different levels. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.amity.edu/spin2024/default.aspx |
| Description | Keynote delivered at the NHS Implant Analysis Annual Conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote delivered at the NHS Implant Analysis Annual Conference. Engaged with clinicians, policy makers, academics, industry and members of the public. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Natural Inspiration For Medical Biomaterials Bioclub: Bioladies X Natural Materials Group University of Sheffield, Sheffield, UK 21st January 2025 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | This was a general public lecture on the history of silk materials for raising awareness of the Bioeconomy as part of the a BioClub event co-organised and held at the University of Sheffield alongside the Bioladies. A series of other talks were given, including Floreon, Natural Materials for Retrofitting Houses, Mucus and an Introduction to the Bioeconomy. |
| Year(s) Of Engagement Activity | 2025 |
| URL | https://www.eventbrite.co.uk/e/bioclub-focus-on-biomaterials-tickets-1109108977809? |
| Description | Natural Inspiration For Medical Biomaterials Natural Materials Group Monthly Webinar, 1pm 27th January 2025 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | This event was part of the monthly webinar series organised by the Natural Materials Group, an IOM3 technical interest group. The focus was on Biomedical materials. Holland gave a talk on the historical use of silk in medicine. |
| Year(s) Of Engagement Activity | 2025 |
| URL | https://www.iom3.org/resource/nmg-lunchtime-webinar-series-focus-on-biomedical-materials.html |
| Description | Offer holder days 18th March 2023 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Offer holder to Materials Science & Engineering Undergraduate courses (and their guests) are invited to the University to tour some of the research and teaching facilities and to learn about ongoing research activities to support their decision making |
| Year(s) Of Engagement Activity | 2023 |
| Description | Offer holder days 18the February 2023 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Offer holder to Materials Science & Engineering Undergraduate courses are invited to the University to tour some of the research and teaching facilities and to learn about ongoing research activities to support their decision making |
| Year(s) Of Engagement Activity | 2023,2024 |
| Description | Offer holder days 4th March 2023 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Offer holder to Materials Science & Engineering Undergraduate courses are invited to the University to tour some of the research and teaching facilities and to learn about ongoing research activities to support their decision making. |
| Year(s) Of Engagement Activity | 2023,2024 |
| Description | On campus open day |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Explained Materials Science & Engineering to potential applicants and parents |
| Year(s) Of Engagement Activity | 2022 |
| Description | Participation in 2nd UK Advanced Materials Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | This workshop looked potential barriers to the adoption and upscaling of some types of advanced materials. I contributed to the discussion during breakout sessions. |
| Year(s) Of Engagement Activity | 2023 |
| Description | RAS 2024 | 7th Annual IEEE UK and Ireland Robotics and Automation Society Chapter Conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | I chaired a session of Autonomy, Trust and verification. Also I gave a talk as part of this session, giving an overview of our research related to these topics. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.sheffield.ac.uk/sheffieldrobotics/7th-ieee-uk-ireland-ras-conference-ras-2024 |
| Description | Research talk and Q&A panel member to 2D materials CDT conference 2022 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a research talk - informing PGR cohorts of 2D materials CDT on research on SEE MORE MAKE MORE and how this relates to energy and 2 D Materials. I was a member of a Q&A panel (representing Academia). I was joined by a panel member representing SME and knowledge transfer unit respectively. The panel answered questions on future career path, IP etc. and spin outs etc. This helped students to plan for and decide on future career path after PhD. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Silk Seminar for Early Career Researchers |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | This was a silk seminar/workshop specifically targetted at upskilling PhD students across the international community (mostly Europe) surronding silk research. Holland co-organised this event and delivered talks on Native/wet/dope silk thermomechanical characterization and How to Write a Scientific Paper. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Talk at Fit4Nano Workshop - Albania |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation at the Fit4Nano workshop in Durres Albania |
| Year(s) Of Engagement Activity | 2024 |
| Description | online Taster day for secondary schools |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | A talk to introduce Materials Science & Engineering to Y12 pupils to increase awareness of this subject area. |
| Year(s) Of Engagement Activity | 2022 |
