Apr 28, 2023
Version 2
- Sneh Patel1,
- Sara Fridovich-Keil2,
- Shauna Rasmussen1,
- and Judith L Fridovich-Keil1
- 1Emory University;
- 2UC Berkeley
External link: https://doi.org/10.1371/journal.pone.0271593
Protocol Citation: Sneh 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 28, 2023
Last Modified: April 28, 2023
Protocol Integer ID: 81170
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
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
Spotlight video