Aug 04, 2023

Public workspaceDQ-BSA quantification

DOI
dx.doi.org/10.17504/protocols.io.eq2ly7mzplx9/v1
  • 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
Berrak Ugur
Open access
DOI: dx.doi.org/10.17504/protocols.io.eq2ly7mzplx9/v1
Protocol Citation: Narayana Yadavalli, Shawn M. Ferguson 2023. DQ-BSA quantification. protocols.io https://dx.doi.org/10.17504/protocols.io.eq2ly7mzplx9/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: May 24, 2023
Last Modified: May 31, 2024
Protocol Integer ID: 82371
Keywords: DQ-BSA quantification, ASAPCRN
Funders Acknowledgement:
ASAP
Grant ID: 000580
Abstract
This protocol describes DQ-BSA quantification.
Attachments
724-1813.docx
724-1813.docx
14KB
Materials
Tools required

  • FIJI/ImageJ
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.