A machine learning tool with light-based image analysis for automatic classification of 3D pain behaviors

  1. Omer Barkai
  2. Biyao Zhang
  3. Bruna Lenfers Turnes
  4. Maryam Arab
  5. David A. Yarmolinsky
  6. Zihe Zhang
  7. Lee B. Barrett
  8. Clifford J. Woolf

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Abstract

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  1. Version published to 10.1016/j.crmeth.2025.101145
  2. Arcadia Science

    A prevalent error in the numerous predictions we examined involved the occurrence of brief sequences (up to 5 frames) characterized by false-negatives or-false positives.

    Did the prevalence of these errors increase with particular behaviors?

  3. Arcadia Science

    Frames depicting paw contact before (top panel) and during flinching, overlaid with a brightness analysis (threshold > 150) (bottom panel)

    Great figures! I wonder if it would be possible to include a short video?

  4. Version published to 10.1101/2024.12.01.625907 on bioRxiv