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Related Concept Videos

Cell Migration01:09

Cell Migration

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Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
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Cell Migration01:19

Cell Migration

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Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
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Chemotaxis and Direction of Cell Migration01:21

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Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
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Accelerated discovery of cell migration regulators using label-free deep learning-based automated tracking.

Tiffany Chu1, Yeongseo Lim2, Yufei Sun1

  • 1Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.

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Summary

DeepBIT is a novel label-free platform for high-throughput cell migration analysis. This deep learning approach enables scalable, single-cell motility profiling to uncover new therapeutic targets.

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Area of Science:

  • Cell biology
  • Biotechnology
  • Bioinformatics

Background:

  • Cell migration is crucial for biological processes like immune surveillance and tissue repair, but also for tumor metastasis.
  • Current cell migration assays are often labor-intensive, lack single-cell resolution, or require phototoxic labeling, limiting large-scale studies.
  • There is a need for scalable, unbiased methods to analyze cell migration dynamics and understand its regulation.

Purpose of the Study:

  • To develop and validate Deep learning Brightfield Imaging and cell Tracking (DeepBIT), a high-throughput, label-free platform for single-cell migration analysis.
  • To enable systematic dissection of cell migration regulation using a data-driven approach.
  • To identify novel modulators of cell migration and understand context-dependent effects.

Main Methods:

  • DeepBIT utilizes a convolutional neural network to detect and track individual cells in brightfield videos without fluorescent labeling.
  • The platform captures live-cell behavior in multiwell plates, integrating nuclear fluorescence for ground-truth dataset generation and automated training.
  • High-throughput screening of ~1.3 million cell trajectories across 840 conditions, including FDA-approved drugs, ECM variations, and genetic perturbations.

Main Results:

  • DeepBIT successfully tracked ~1500 cells per well in ~2 minutes per condition, demonstrating high throughput and scalability.
  • The platform identified previously unrecognized motility modulators among FDA-approved compounds.
  • Significant context-dependent regulation of cell migration was observed, with cues like TNF-α and RhoA exhibiting dual roles.

Conclusions:

  • DeepBIT offers an unbiased, label-free, and scalable solution for single-cell motility profiling.
  • The platform facilitates systematic exploration of cell migration regulation, compatible with large drug libraries and genomic tools.
  • DeepBIT enables enhanced understanding and therapeutic targeting of cell migration in various biological contexts, including cancer metastasis.