Aug 04, 2023

Public workspaceDQ-BSA quantification

  • Narayana Yadavalli1,2,3,4,5,
  • Shawn M. Ferguson1,2,3,4,6,5
  • 1Department of Cell Biology, Yale University School of Medicine, New Haven, Connecticut 06510, USA;
  • 2Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06510, USA;
  • 3Program in Cellular Neuroscience, Neurodegeneration and Repair;
  • 4Wu Tsai Institute Yale University School of Medicine, New Haven, Connecticut 06510, USA;
  • 5Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA;
  • 6Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06510, USA
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Abstract
This protocol describes DQ-BSA quantification.
Attachments
DQ-BSA quantification
DQ-BSA quantification
Segment maximal projection images from z-stacks spanning complete cells by using the find maxima function.
Threshold the duplicated images by default algorithm.
Combine the segmented and thresholder images by AND function to create a mask.
Obtain the mean gray values by applying analyze particle function to the mask and redirecting this whole analysis to the original images.

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