Research Topic

Computational Analysis of Stem and Cancer Cell Dynamics

About this Research Topic

This Research Topic will focus on the tools and technologies required to further our understanding of the dynamic patterns of disease and development observed via live microscopy imaging.

Human stem cells are particularly challenging for computational image analysis because of increased adherence and longer event timespans compared to other model organisms. Manuscripts that address the challenges associated with observing cell and clone dynamics throughout their development are requested. This includes topics related to imaging and analysis of data showing signaling molecules and markers for internal cell state. The areas of interest span biological, biochemical, optical and computational approaches at scales from organelle to tissues and organ(oid)s for both stem and cancer cells.

Specific topics of interest include (but are not limited to):
1) Quantitative analysis of live microscopy imaging to capture organelle, cell and clone dynamics
2) Algorithms and software tools for segmentation, tracking and lineaging in live cell and organelle microscopy, including from label free samples
3) Visualization approaches for high-dimensional imaging data and analysis results
4) Computational methods for extracting and analyzing biochemical markers of cell cycle progression, checkpoints and cell signaling events
5) Mathematical techniques for analyzing dynamic patterns of development and communication in developing cells and clones
6) Open source software tools for live imaging data analytics
7) Open data collections relating to live imaging and developmental dynamics
8) Imaging and image analysis for live human cells
9) Comparisons of methods for analyzing human cell images compared to other model organisms
10) Predictive analytics approaches for understanding cell fate dynamics


Keywords: live microscopy, imaging, organelle microscopy, image analysis


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

This Research Topic will focus on the tools and technologies required to further our understanding of the dynamic patterns of disease and development observed via live microscopy imaging.

Human stem cells are particularly challenging for computational image analysis because of increased adherence and longer event timespans compared to other model organisms. Manuscripts that address the challenges associated with observing cell and clone dynamics throughout their development are requested. This includes topics related to imaging and analysis of data showing signaling molecules and markers for internal cell state. The areas of interest span biological, biochemical, optical and computational approaches at scales from organelle to tissues and organ(oid)s for both stem and cancer cells.

Specific topics of interest include (but are not limited to):
1) Quantitative analysis of live microscopy imaging to capture organelle, cell and clone dynamics
2) Algorithms and software tools for segmentation, tracking and lineaging in live cell and organelle microscopy, including from label free samples
3) Visualization approaches for high-dimensional imaging data and analysis results
4) Computational methods for extracting and analyzing biochemical markers of cell cycle progression, checkpoints and cell signaling events
5) Mathematical techniques for analyzing dynamic patterns of development and communication in developing cells and clones
6) Open source software tools for live imaging data analytics
7) Open data collections relating to live imaging and developmental dynamics
8) Imaging and image analysis for live human cells
9) Comparisons of methods for analyzing human cell images compared to other model organisms
10) Predictive analytics approaches for understanding cell fate dynamics


Keywords: live microscopy, imaging, organelle microscopy, image analysis


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

04 January 2021 Abstract
04 May 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

04 January 2021 Abstract
04 May 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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