ArticleCell reports methods2023
DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- The Encyclopedia of DNA Elements.bioRxiv : the preprint server for biology · 2026Article
- Microscopy Cell Segmentation: Review and Benchmarking of Task-Specific and Foundation Models.Journal of imaging · 2026Review
- Artificial intelligence-powered microscopy: Transforming the landscape of parasitology.Journal of microscopy · 2026Review
- Leveraging Vision Transformers for High-Precision Classification of Cancer Cell Cultures: A Comparative Study on MDA-MB-231 and PC3 Datasets.IEEE open journal of engineering in medicine and biology · 2026Article
- Artificial Neural Networks for Bioimage Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- E2F1 induces a G0-G1 reentry transcriptional program without changing chromatin accessibility.bioRxiv : the preprint server for biology · 2025Article
- Self-organization of mouse embryonic stem cells into reproducible pre-gastrulation embryo models via CRISPRa programming.Cell stem cell · 2025Article
- Enhanced cell tracking using a GAN-based super-resolution video-to-video time-lapse microscopy generative model.iScience · 2025Article
- DeepKymoTracker: A tool for accurate construction of cell lineage trees for highly motile cells.PloS one · 2025Article
- State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues.Journal of imaging · 2024Review
- Cellular behavior analysis from live-cell imaging of TCR T cell-cancer cell interactions.bioRxiv : the preprint server for biology · 2024Article
- Label-free live cell recognition and tracking for biological discoveries and translational applications.Npj imaging · 2024Review
- Enhanced cell segmentation with limited training datasets using cycle generative adversarial networks.iScience · 2024Article
- Continuous distribution of cancer cells in the cell cycle unveiled by AI-segmented imaging of 37,000 HeLa FUCCI cells.Heliyon · 2024Article
- Self-organization of embryonic stem cells into a reproducible embryo model through epigenome editing.bioRxiv : the preprint server for biology · 2024Article
- Enhanced cell segmentation with limited annotated data using generative adversarial networks.bioRxiv : the preprint server for biology · 2023Article
- A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations.PeerJ. Computer science · 2023Article
- Multiparameter analysis of timelapse imaging reveals kinetics of megakaryocytic erythroid progenitor clonal expansion and differentiation.Scientific reports · 2022Article
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Authors and funding
13 authors.
Funding
Abstract
Time-lapse microscopy is the only method that can directly capture the dynamics and heterogeneity of fundamental cellular processes at the single-cell level with high temporal resolution. Successful application of single-cell time-lapse microscopy requires automated segmentation and tracking of hundreds of individual cells over several time points. However, segmentation and tracking of single cells remain challenging for the analysis of time-lapse microscopy images, in particular for widely available and non-toxic imaging modalities such as phase-contrast imaging. This work presents a versatile and trainable deep-learning model, termed DeepSea, that allows for both segmentation and tracking of single cells in sequences of phase-contrast live microscopy images with higher precision than existing models. We showcase the application of DeepSea by analyzing cell size regulation in embryonic stem cells.
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