Apr 29, 2023
  • 1Emory University;
  • 2UC Berkeley
  • PLOS ONE Lab Protocols
  • Spotlight series
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Protocol CitationSneh Patel, Sara Fridovich-Keil, Shauna Rasmussen, and Judith L Fridovich-Keil 2023. DAB-quant. protocols.io https://dx.doi.org/10.17504/protocols.io.dm6gpb578lzp/v2Version created by and Judith L Fridovich-Keil
Manuscript citation:
Patel S, Fridovich-Keil S, Rasmussen SA, Fridovich-Keil JL (2022)DAB-quant: An open-source digital system for quantifying immunohistochemical staining with 3,3′-diaminobenzidine (DAB). PLOS ONE 17(7): e0271593.https://doi.org/10.1371/journal.pone.0271593
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: April 29, 2023
Last Modified: April 29, 2023
Protocol  Integer ID: 81170
Keywords: scanned tissue slide, immunohistochemistry, dab, example scans for analysis, tissue slide, example scan, tissue
Abstract
Here we describe DAB-quant, a new system that facilitates quantitation of large numbers of scanned tissue slides stained via immunohistochemistry with 3,3′-Diaminobenzidine (DAB). The python code, instructions, license, and a link to example scans for analysis are all available at:
https://github.com/sarafridov/DAB-quant

(The last step in this version contains a supplemental video with extra context and tips, as part of the protocols.io Spotlight series, featuring conversations with protocol authors.)
Protocol
Here we provide DAB-quant, a new system that facilitates quantitation of large numbers of scanned tissue slides stained via immunohistochemistry with 3,3′-Diaminobenzidine (DAB). The python code, instructions, license, and a link to example scans for analysis are all available at: https://github.com/sarafridov/DAB-quant
Spotlight video