AIMC Topic: Cell Tracking

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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

PLoS computational biology May 23, 2025
Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. These methods for analyzing biological and medical data have capitalized on advances from the broad...
Algorithms Deep Learning Humans Neural Networks, Computer Microscopy Cell Division Cell Tracking Image Processing, Computer-Assisted Computational Biology
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Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy.

Scientific reports Apr 5, 2025
Monitoring and tracking of cell motion is a key component for understanding disease mechanisms and evaluating the effects of treatments. Time-lapse optical microscopy has been commonly employed for studying cell cycle phases. However, usual manual ce...
Humans Neural Networks, Computer Cell Movement Microscopy Reproducibility of Results Machine Learning Cell Tracking Algorithms Image Processing, Computer-Assisted Time-Lapse Imaging
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Enhancing yeast cell tracking with a time-symmetric deep learning approach.

NPJ systems biology and applications Mar 13, 2025
Accurate tracking of live cells using video microscopy recordings remains a challenging task for popular state-of-the-art image processing-based object tracking methods. In recent years, many applications have attempted to integrate deep-learning fra...
Deep Learning Image Processing, Computer-Assisted Algorithms Microscopy, Video Saccharomyces cerevisiae Cell Tracking
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Automatic classification of normal and abnormal cell division using deep learning.

Scientific reports Jun 20, 2024
In recent years, there has been a surge in the development of methods for cell segmentation and tracking, with initiatives like the Cell Tracking Challenge driving progress in the field. Most studies focus on regular cell population videos in which c...
Cell Tracking Deep Learning Image Processing, Computer-Assisted Mitosis Cell Division Humans
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Implementation of transfer learning for the segmentation of human mesenchymal stem cells-A validation study.

Tissue & cell Jun 29, 2023
INTRODUCTION: Stem cell therapy has been gaining interest in the regeneration rather than repair of lost human tissues. However, the manual analysis of stem cells prior to implantation is a cumbersome task that can be automated to improve the efficie...
Mesenchymal Stem Cell Transplantation Data Curation Algorithms Cell Tracking Mesenchymal Stem Cells Deep Learning Datasets as Topic
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Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks.

PLoS computational biology Sep 6, 2022
Robustness in developing and homeostatic tissues is supported by various types of spatiotemporal cell-to-cell interactions. Although live imaging and cell tracking are powerful in providing direct evidence of cell coordination rules, extracting and c...
Cell Tracking Animals Mammals Neural Networks, Computer Machine Learning
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DetecDiv, a generalist deep-learning platform for automated cell division tracking and survival analysis.

eLife Aug 17, 2022
Automating the extraction of meaningful temporal information from sequences of microscopy images represents a major challenge to characterize dynamical biological processes. So far, strong limitations in the ability to quantitatively analyze single-c...
Survival Analysis Saccharomyces cerevisiae Cell Division Cell Tracking Deep Learning Image Processing, Computer-Assisted Software
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Tracking cell lineages in 3D by incremental deep learning.

eLife Jan 6, 2022
Deep learning is emerging as a powerful approach for bioimage analysis. Its use in cell tracking is limited by the scarcity of annotated data for the training of deep-learning models. Moreover, annotation, training, prediction, and proofreading curre...
Humans Cell Tracking Data Curation Deep Learning Cell Lineage Image Processing, Computer-Assisted
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DeepSeed Local Graph Matching for Densely Packed Cells Tracking.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The tracking of densely packed plant cells across microscopy image sequences is very challenging, because their appearance change greatly over time. A local graph matching algorithm was proposed to track such cells by exploiting the tight spatial top...
Image Processing, Computer-Assisted Cell Tracking Neural Networks, Computer Microscopy Plant Cells Algorithms
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Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB.

BMC molecular and cell biology Jun 2, 2021
BACKGROUND: Endothelial healing after deployment of cardiovascular devices is particularly important in the context of clinical outcome. It is therefore of great interest to develop tools for a precise prediction of endothelial growth after injury in...
Cell Tracking Wound Healing Humans Endothelium, Vascular Deep Learning
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