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Real-time-volumetric-reconstruction-of-biological-dynamics-with-light-field-microscopy-and-deep-learning.pdf
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🔗 Source: zhenlab.com
📊 Size: 8.63 MB
👤 Author: Zhaoqiang Wang
⬇️ Downloads: 41

Summary

Researchers developed a light-field microscopy (LFM) strategy using a view-channel-depth (VCD) neural network to improve spatial resolution and reduce reconstruction artifacts, enabling high-speed volumetric imaging of biological processes. The VCD-LFM method involves training a VCD convolutional neural network on synthetic light-field images generated from high-resolution 3D images, allowing for artifact-free 3D image sequences with uniform spatial resolution and high-video-rate reconstruction throughput. The technique was demonstrated by imaging motor neuron activity in C. elegans and blood flow in a zebrafish heart at single-cell resolution with volumetric imaging rates up to 200 Hz.

Description

Researchers developed a light-field microscopy (LFM) strategy using a view-channel-depth (VCD) neural network to improve spatial resolution and reduce...

Technical Information

  • File Format: PDF
  • File Size: 8.63 MB
  • Pages: 15
  • Language: EN
  • Author: Zhaoqiang Wang
  • Total Downloads: 41
  • Last Updated: 3 weeks ago

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