Browse State-of-the-Art › Cell Tracking
Cell Tracking
46 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
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Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 46 papers with code (74 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)There is large consent that successful training of deep networks requires many thousand annotated training samples.
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25 Feb 2020 3 repositories listedConventional cell tracking methods detect multiple cells in each frame (detection) and then associate the detection results in successive time-frames (association).
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29 May 2018 3 repositories listedLive cell microscopy sequences exhibit complex spatial structures and complicated temporal behaviour, making their analysis a challenging task.
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15 Oct 2024 2 repositories listedWe illustrate the features and applications of DynaCLR with the following experiments: analyzing the kinetics of viral infection in human cells, detecting transient changes in cell morphology due to cell division, and…
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24 May 2024 2 repositories listedImportantly, unlike existing transformer-based MOT pipelines, our learning architecture also accounts for dividing objects such as cells and allows for accurate tracking even with simple greedy linking, thus making…
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9 Feb 2022 2 repositories listedBy modeling the entire time-lapse sequence as a direct graph where cell instances are represented by its nodes and their associations by its edges, we extract the entire set of cell trajectories by looking for the…
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26 Nov 2020 2 repositories listedCompared to manual blood cell counting, CycleTrack achieves 96.
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14 Apr 2020 2 repositories listedWe demonstrate the efficacy of our method on real-world tracking problems.
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5 Jun 2025 1 repository listedCurrent video-based approaches, while proficient in tracking, lack the sophisticated reasoning capabilities of large language models, limiting their contextual understanding and generalization.
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17 Apr 2025 1 repository listedTo the best of our knowledge, this research represents the first successful attempt to address a long-standing problem in the field of time-lapse microscopy in the root meristem by proposing an accurate tracking method…
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27 Mar 2025 1 repository listedTracking individual cells in live-cell imaging provides fundamental insights, inevitable for studying causes and consequences of phenotypic heterogeneity, responses to changing environmental conditions or stressors.
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14 Nov 2024 1 repository listedAccurately tracking neuronal activity in behaving animals presents significant challenges due to complex motions and background noise.
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21 Aug 2024 1 repository listedWe show that CHOTA is sensitive to all tracking errors and gives a good indication of the biologically relevant capability of a method to reconstruct the full lineage of cells.
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8 Aug 2024 1 repository listedLive-cell microscopy allows to go beyond measuring average features of cellular populations to observe, quantify and explain biological heterogeneity.
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22 Mar 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedCell tracking and segmentation assist biologists in extracting insights from large-scale microscopy time-lapse data.
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18 Jan 2024 1 repository listedIn this paper, we propose a novel DL approach featuring graph-based tracking for cell segmentation and tracking in microscopy images.
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11 Jan 2024 1 repository listedDetermining cell identities in imaging sequences is an important yet challenging task.
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7 Nov 2023 1 repository listedAfter training the model on the two datasets, with labels that comprise 10% cell markers, the DET improved from 0.
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7 Oct 2023 1 repository listedThis work proposes a new approach based on the classical tracking-by-detection paradigm that alleviates the requirement of annotated data.
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8 Aug 2023 1 repository listedIn this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach.
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4 Aug 2023 1 repository listedTo address this issue, we aimed to develop a new deep-learning based tracking method that relies solely on the assumption that cells can be tracked based on their spatio-temporal neighborhood, without restricting it to…
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18 Apr 2023 1 repository listedFinally, we show how microscopy images of living cells that correspond to our generated cell shapes can be synthesized using an image-to-image model.
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20 Oct 2022 1 repository listedCell tracking is an essential tool in live-cell imaging to determine single-cell features, such as division patterns or elongation rates.
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4 Oct 2022 1 repository listedThe automated analysis of microscopy images is a challenge in the context of single-cell tracking and quantification.
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24 Aug 2022 1 repository listedOur work specifically addresses the following challenging properties of C.
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28 Jul 2022 1 repository listedWe share our recent findings in an attempt to train a universal segmentation network for various cell types and imaging modalities.
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13 Jul 2022 1 repository listed Syntology ran 1 of 6 samples · 5 unverifiedDeep generative models for cell shape synthesis require a light-weight and flexible representation of the cell shape.
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22 Apr 2022 1 repository listedA systematic analysis of the cell behavior requires automated approaches for cell segmentation and tracking.
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6 Apr 2022 1 repository listedSince the number of available 3D microscopy images is typically limited in applications, we take a different approach and introduce a small CNN for volumetric cell segmentation.
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19 Nov 2021 1 repository listedWe present a massively parallel Lagrange decomposition method for solving 0--1 integer linear programs occurring in structured prediction.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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