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Related Experiment Video

Updated: Jun 8, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

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Published on: September 28, 2019

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Virtual reality-empowered deep-learning analysis of brain cells.

Doris Kaltenecker1,2,3,4, Rami Al-Maskari4,5,6,7, Moritz Negwer5

  • 1Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.

Nature Methods
|April 22, 2024
PubMed
Summary
This summary is machine-generated.

We developed DELiVR, a virtual reality-trained deep learning tool for automated cell detection in whole-brain images. This method accelerates analysis and improves accuracy for studying neuronal activity in mouse brains.

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Area of Science:

  • Neuroscience
  • Bioimaging
  • Computational Biology

Background:

  • Automated cell detection in large 3D brain datasets is complex.
  • Neuronal activity is often marked by c-Fos expression.
  • Existing cell segmentation methods face challenges with whole-brain imaging data.

Purpose of the Study:

  • To introduce DELiVR, a novel deep learning pipeline for detecting specific cells in cleared mouse brains.
  • To leverage virtual reality for efficient training data generation.
  • To enable robust analysis of whole-brain imaging data for neuroscience research.

Main Methods:

  • Development of DELiVR, a virtual reality-trained deep learning pipeline.
  • Utilizing c-Fos+ cells as markers for neuronal activity.
  • Deployment via a Docker container with a Fiji plugin for user-friendliness.
  • Customization for other cell types, such as microglia, using Fiji for training.

Main Results:

  • DELiVR significantly outperformed state-of-the-art cell segmentation approaches.
  • Virtual reality annotation accelerated training data generation.
  • Application of DELiVR revealed distinct brain activity patterns in cancer models associated with weight loss versus stable cancer.
  • The tool demonstrated robustness in analyzing whole-brain imaging data.

Conclusions:

  • DELiVR provides a powerful and accessible deep learning solution for whole-brain imaging analysis.
  • The pipeline facilitates the study of neuronal activity and its relation to disease states.
  • DELiVR does not require advanced coding skills, making advanced brain imaging analysis more accessible.