Integrating XMALab and DeepLabCut for high-throughput XROMM

Marker tracking is a major bottleneck in studies involving X-ray reconstruction of moving morphology (XROMM). Here, we tested whether DeepLabCut, a new deep learning package built for markerless tracking, could be applied to videoradiographic data to improve data processing throughput. Our novel wor...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:J Exp Biol
Main Authors: Laurence-Chasen, J.D., Manafzadeh, Armita R., Hatsopoulos, Nicholas G., Ross, Callum F., Arce-McShane, Fritzie I.
Format: Artigo
Jezik:Inglês
Izdano: The Company of Biologists Ltd 2020
Teme:
Methods & Techniques
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7490514/
https://ncbi.nlm.nih.gov/pubmed/32665442
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1242/jeb.226720
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