Papers › LIVECell—A large-scale dataset for label-free live cell segmentation
LIVECell—A large-scale dataset for label-free live cell segmentation
Christoffer Edlund, Timothy R. Jackson, Nabeel Khalid, Nicola Bevan, Timothy Dale, Andreas Dengel, Sheraz Ahmed, Johan Trygg, Rickard Sjögren
Light microscopy combined with well-established protocols of two-dimensional cell culture facilitates high-throughput quantitative imaging to study biological phenomena. Accurate segmentation of individual cells in images enables exploration of complex biological questions, but can require sophisticated imaging processing pipelines in cases of low contrast and high object density. Deep learning-based methods are considered state-of-the-art for image segmentation but typically require vast amounts of annotated data, for which there is no suitable resource available in the field of label-free cellular imaging. Here, we present LIVECell, a large, high-quality, manually annotated and expert-validated dataset of phase-contrast images, consisting of over 1.6 million cells from a diverse set of cell morphologies and culture densities. To further demonstrate its use, we train convolutional neural network-based models using LIVECell and evaluate model segmentation accuracy with a proposed a suite of benchmarks.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Cell Segmentation | LIVECell | Cascade Mask RCNN-ResNest-200 | LIVECell Extrapolation (A172) | 1328 | #1 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | Cascade Mask RCNN-ResNest-200 | LIVECell Extrapolation (A549) | 1403 | #1 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | Cascade Mask RCNN-ResNest-200 | LIVECell Transferability | 0.98 | #1 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | Cascade Mask RCNN-ResNest-200 | mask AFNR | 45.3 | #1 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | Cascade Mask RCNN-ResNest-200 | mask AP | 47.9 | #1 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | CenterMask-VoVNet2-FPN | LIVECell Extrapolation (A172) | 1948 | #2 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | CenterMask-VoVNet2-FPN | LIVECell Extrapolation (A549) | 2031 | #2 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | CenterMask-VoVNet2-FPN | LIVECell Transferability | 1.21 | #2 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | CenterMask-VoVNet2-FPN | mask AFNR | 52.2 | #2 of 3 | Archive leaderboard | report |
| Cell Segmentation | LIVECell | CenterMask-VoVNet2-FPN | mask AP | 47.8 | #2 of 3 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections