Skip to Main content Skip to Navigation
Conference papers

EXPERIMENTALLY-GENERATED GROUND TRUTH FOR DETECTING CELL TYPES IN AN IMAGE-BASED IMMUNOTHERAPY SCREEN

Abstract : Chimeric antigen receptor is an immunotherapy whereby T lympho-cytes are engineered to selectively attack cancer cells. Image-based screens of CART cells, combining phase contrast and fluorescence microscopy, suffer from the gradual quenching of the fluorescent signal, making the reliable monitoring of cell populations across time-lapse imagery difficult. We propose to leverage the available fluorescent markers as an experimentally-generated ground truth, without recourse to manual annotation. With some simple image processing, we are able to segment and assign cell type classes automatically. This ground truth is sufficient to train a neural object detection system from the phase contrast signal alone, potentially eliminating the need for the cumbersome fluorescent markers. This approach will underpin the development of cheap and robust microscope-based protocols to quantify CART activity against tumor cells in vitro.
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02976141
Contributor : Thomas Walter <>
Submitted on : Friday, October 23, 2020 - 12:13:44 PM
Last modification on : Wednesday, January 20, 2021 - 2:58:01 PM
Long-term archiving on: : Sunday, January 24, 2021 - 6:32:39 PM

File

ISBI_2020_BoydWalter_personalC...
Files produced by the author(s)

Identifiers

Citation

Joseph Boyd, Zelia Gouveia, Franck Perez, Thomas Walter. EXPERIMENTALLY-GENERATED GROUND TRUTH FOR DETECTING CELL TYPES IN AN IMAGE-BASED IMMUNOTHERAPY SCREEN. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Apr 2020, Iowa City, United States. pp.886-890, ⟨10.1109/ISBI45749.2020.9098696⟩. ⟨hal-02976141⟩

Share

Metrics

Record views

22

Files downloads

68