ATLopezJimenez/Toolset-high-content-analysis-of-Shigella-infection
López-jiménez, AT
(2024).
ATLopezJimenez/Toolset-high-content-analysis-of-Shigella-infection.
[Dataset].
Github.
https://github.com/ATLopezJimenez/Toolset-high-content-analysis-of-Shigella-infection
(2024).
ATLopezJimenez/Toolset-high-content-analysis-of-Shigella-infection.
[Dataset].
Github.
https://github.com/ATLopezJimenez/Toolset-high-content-analysis-of-Shigella-infection
This repository holds ImageJ macros, python code and trained CNN models developped by Ana Teresa López Jiménez in Serge Mostowy's lab (London School of Hygiene and Tropical Medicine). They were used to identify and analyse SEPT7 recruitment to Shigella flexneri as presented in the preprint submitted for peer-review: "High-content high-resolution microscopy and deep learning assisted analysis reveals host and bacterial heterogeneity during Shigella infection". Ana T. López-Jiménez, Dominik Brokatzky, Kamla Pillay, Tyrese Williams, Gizem Özbaykal Güler and Serge Mostowy (2024)
Keywords
Shigella infection| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software Jupyter Notebook |
| Capture method | Experiment: Laboratory |
| Date | 27 February 2024 |
| Language(s) of written materials | English |
| Creator(s) |
López-jiménez, AT
|
| 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 | 22 Apr 2024 09:25 |
| Last Modified | 01 Jun 2026 11:27 |
| Publisher | Github |
No files available. Please consult associated links.
