Jul 10, 2024

Public workspaceCell counting, imaging, and analysis

DOI
https://dx.doi.org/10.17504/protocols.io.81wgbyjjqvpk/v1
  • Shiyi Wang1
  • 1Duke University
Shiyi Wang
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DOI: https://dx.doi.org/10.17504/protocols.io.81wgbyjjqvpk/v1
Document Citation: Shiyi Wang 2024. Cell counting, imaging, and analysis. protocols.io https://dx.doi.org/10.17504/protocols.io.81wgbyjjqvpk/v1
License: This is an open access document 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
Created: May 23, 2023
Last Modified: July 10, 2024
Document Integer ID: 82333
Keywords: ASAPCRN, analysis cell counting, imaging
Funders Acknowledgements:
Aligning Science Across Parkinson’s (ASAP) initiative
Grant ID: ASAP-020607
Abstract
Cell counting, imaging, and analysis
1. Tile scan images containing the anterior cingulated cortex (ACC) and primary motor cortex (MOp) from P21 WT and LRRK2 G2019Ski/ki; Aldh1l1-eGFP mice were acquired on a confocal Leica SP8 STED microscope using the galvo scanner and 20× objective.

2. For ALDH1L1-EGFP and SOX9 double positive cell counting in the ACC and MOp, the cells labeled with ALDH1L1-EGFP and SOX9 were counted manually using the cell counter tool in FIJI.

3. 2-4 sections per brain from 3 sex and age-matched mice/genotype were analyzed.