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Related Concept Videos

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Related Experiment Video

Updated: Jul 16, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

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Using DeepContact with Amira graphical user interface.

Liqing Liu1, Hongjun Wu2, Shuxin Yang3

  • 1Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.

STAR Protocols
|September 17, 2023
PubMed
Summary
This summary is machine-generated.

DeepContact software quantifies membrane contact sites (MCS) in electron microscopy images. This protocol integrates DeepContact into Amira software for user-friendly organelle segmentation and MCS analysis.

Keywords:
Cell BiologyComputer SciencesMicroscopy

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Area of Science:

  • Cell Biology
  • Bioimaging
  • Computational Biology

Background:

  • Accurate quantification of membrane contact sites (MCS) is crucial for understanding cellular processes.
  • High-throughput analysis of MCS in electron microscopy (EM) images presents significant computational challenges.

Purpose of the Study:

  • To provide a protocol for integrating DeepContact, a deep learning software, into Amira software.
  • To enable user-friendly, high-throughput quantification of MCS in 2D EM images using Amira's graphical interface.

Main Methods:

  • Utilizing Amira's artificial intelligence module to incorporate pre-existing DeepContact models.
  • Leveraging DeepContact's deep learning capabilities for organelle segmentation.
  • Applying DeepContact functions within Amira for MCS quantification.

Main Results:

  • Successful integration of DeepContact within Amira's AI module.
  • Demonstration of user-friendly organelle segmentation and MCS quantification.
  • Facilitation of high-throughput analysis of EM data.

Conclusions:

  • The protocol enables efficient and accessible MCS quantification in EM images.
  • DeepContact integration into Amira streamlines complex bioimaging analysis workflows.
  • This approach enhances the study of cellular structures and functions through advanced image analysis.