[Dataset]: An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines
(2024)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/eed2a9d8-0037-4c93-bed1-73382143f090
- author
- Kazemi Rashed, Salma
LU
; Arvidsson, Malou
; Ahmed, Rafsan
LU
and Aits, Sonja
LU
- organization
- publishing date
- 2024-06-24
- type
- Non-textual form
- publication status
- published
- subject
- keywords
- computer vision, high-content imaging, supervised learning, deep learning, galectin, open science
- publisher
- Zenodo
- DOI
- 10.5281/zenodo.12193890
- project
- Lund University AI Research
- Lysosomes in cell death - from molecular mechanisms to new treatment strategies
- Revealing drivers of cell death disruption across species and theri links to biodiversity loss and human disease
- Analysing large-scale microscopy datasets with AI-based approaches
- language
- English
- LU publication?
- yes
- id
- eed2a9d8-0037-4c93-bed1-73382143f090
- date added to LUP
- 2024-12-13 11:18:12
- date last changed
- 2025-04-04 15:00:54
@misc{eed2a9d8-0037-4c93-bed1-73382143f090,
author = {{Kazemi Rashed, Salma and Arvidsson, Malou and Ahmed, Rafsan and Aits, Sonja}},
keywords = {{computer vision; high-content imaging; supervised learning; deep learning; galectin; open science}},
language = {{eng}},
month = {{06}},
publisher = {{Zenodo}},
title = {{[Dataset]: An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines}},
url = {{http://dx.doi.org/10.5281/zenodo.12193890}},
doi = {{10.5281/zenodo.12193890}},
year = {{2024}},
}