📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

MiCellAnnGELo: Annotate microscopy time series of complex cell surfaces with 3D Virtual Reality (2022)

First Author: Platt A

Attributed to: Machine learning for extracting spatio-temporal biological patterns on evolving domains funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2209.11672

Publication URI: https://arxiv.org/abs/2209.11672

Type: Preprint