michaeldelves/PhIDDLI
Delves, M
(2023).
michaeldelves/PhIDDLI.
[Dataset].
Github.
https://github.com/michaeldelves/PhIDDLI/
Phenotype Image Data and Digital Learning Innovation (PhIDDLI) for evaluating and visualising fluorescence microscopy cellular phenotypes.
Keywords
microscopy; cellular phenotypes| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software Python script |
| Capture method | Other |
| Date | 29 November 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Delves, M |
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Department of Infection Biology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 23 Feb 2026 13:04 |
| Last Modified | 23 Feb 2026 17:37 |
| Publisher | Github |
Explore Further
- Github (Online Data Resource)
- Software Heritage Archive (Data)
No files available. Please consult associated links.
- Github (Online Data Resource)
- Software Heritage Archive (Data)
ORCID: https://orcid.org/0000-0001-8526-4782