Celldetective: an AI-enhanced image analysis tool for unraveling dynamic cell interactions DOI Creative Commons
Rémy Torro,

Beatriz Díaz-Bello,

Dalia El Arawi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 17, 2024

Abstract A current challenge in bioimaging for immunology and immunotherapy research lies analyzing multimodal multidimensional data that capture dynamic interactions between diverse cell populations. Here, we introduce Celldetective, an open-source Python-based software designed high-performance, end-to-end analysis of image-based vitro immune assays. Purpose-built multicondition, 2D multichannel time-lapse microscopy mixed populations, Celldetective is optimized the needs The seamlessly integrates AI-based segmentation, Bayesian tracking, automated single-cell event detection, all within intuitive graphical interface supports interactive visualization, annotation, training capabilities. We demonstrate its utility with original on effector activating surface, mediated by bispecific antibodies, further showcase potential extensive sets pairwise antibody-dependent cytotoxicity events.

Language: Английский

Cutting-edge AI tools revolutionizing scientific research in life sciences DOI Creative Commons

ХАДУЕВА Я.А. ХАДУЕВА Я.А.

BioTechnologia, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Artificial intelligence (AI) is becoming a transformative force in the life sciences, pushing boundaries of possibility. Imagine AI automating time-consuming tasks, uncovering hidden patterns vast datasets, designing proteins minutes instead years, and even predicting disease outbreaks before they occur. This review explores latest tools revolutionizing scientific fields, including research data analysis, healthcare, supporting writing. Beyond processing, reshaping how scientists draft share their findings, enhancing processes ranging from literature reviews to citation management. However, with great power comes responsibility. Are we prepared for this leap? delves into forefront where innovation meets

Language: Английский

Citations

0
Celldetective: an AI-enhanced image analysis tool for unraveling dynamic cell interactions DOI Creative Commons
Rémy Torro,

Beatriz Díaz-Bello,

Dalia El Arawi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 17, 2024

Abstract A current challenge in bioimaging for immunology and immunotherapy research lies analyzing multimodal multidimensional data that capture dynamic interactions between diverse cell populations. Here, we introduce Celldetective, an open-source Python-based software designed high-performance, end-to-end analysis of image-based vitro immune assays. Purpose-built multicondition, 2D multichannel time-lapse microscopy mixed populations, Celldetective is optimized the needs The seamlessly integrates AI-based segmentation, Bayesian tracking, automated single-cell event detection, all within intuitive graphical interface supports interactive visualization, annotation, training capabilities. We demonstrate its utility with original on effector activating surface, mediated by bispecific antibodies, further showcase potential extensive sets pairwise antibody-dependent cytotoxicity events.

Language: Английский

Citations

0