ArticleStem cell reports2021
Deep neural net tracking of human pluripotent stem cells reveals intrinsic behaviors directing morphogenesis.
Article in Stem cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- CLDN10-driven lineage decision in an amnion and primordial germ cell progenitor at the amnion-epiblast boundary in primates.Genome biology · 2025Article
- Applications of artificial intelligence in stem cell therapy.World journal of stem cells · 2025Review
- Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition.PLoS computational biology · 2025Article
- Temporally resolved single cell transcriptomics in a human model of amniogenesis.bioRxiv : the preprint server for biology · 2024Article
- TBXT dose sensitivity and the decoupling of nascent mesoderm specification from EMT progression in 2D human gastruloids.Development (Cambridge, England) · 2024Article
- High-volume, label-free imaging for quantifying single-cell dynamics in induced pluripotent stem cell colonies.PloS one · 2024Article
- Exogeneous metal ions as therapeutic agents in cardiovascular disease and their delivery strategies.Regenerative biomaterials · 2024Review
- The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review.PloS one · 2024Article
- TBXT dose sensitivity and the decoupling of nascent mesoderm specification from EMT progression in 2D human gastruloids.bioRxiv : the preprint server for biology · 2023Article
- Artificial Intelligence Supports Automated Characterization of Differentiated Human Pluripotent Stem Cells.Stem cells (Dayton, Ohio) · 2023Article
- Loss of TJP1 disrupts gastrulation patterning and increases differentiation toward the germ cell lineage in human pluripotent stem cells.Developmental cell · 2023Article
- Machine learning-based detection of label-free cancer stem-like cell fate.Scientific reports · 2022Article
- 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models.Polymers · 2022Article
- Artificial-Intelligence-Based Imaging Analysis of Stem Cells: A Systematic Scoping Review.Biology · 2022Article
- Imaging-based tracking of stem-cell responses for 3D bioprinting optimization.Cell transplantationReview
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Lineage tracing is a powerful tool in developmental biology to interrogate the evolution of tissue formation, but the dense, three-dimensional nature of tissue limits the assembly of individual cell trajectories into complete reconstructions of development. Human induced pluripotent stem cells (hiPSCs) can recapitulate aspects of developmental processes, providing an in vitro platform to assess the dynamic collective behaviors directing tissue morphogenesis. Here, we trained an ensemble of neural networks to track individual hiPSCs in time-lapse microscopy, generating longitudinal measures of cell and cellular neighborhood properties on timescales from minutes to days. Our analysis reveals that, while individual cell parameters are not strongly affected by pluripotency maintenance conditions or morphogenic cues, regional changes in cell behavior predict cell fate and colony organization. By generating complete multicellular reconstructions of hiPSC behavior, our tracking pipeline enables fine-grained understanding of morphogenesis by elucidating the role of regional behavior in early tissue formation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.