<i>AutoCount</i> : An ImageJ Macro for Automatic Cell Counting of Fluorescent Images
Background: Visualization of proteins and subcellular structures such as nuclei and cell organelles using fluorescent dyes or fluorescently tagged antibodies (immunostaining) have been a cornerstone of biological research. However, the current quantification method involves time-consuming and labor-intensive manual counting using ImageJ software. These issues tend to introduce unintentional biases, inconsistencies, and are not feasible for large datasets. While published ImageJ macros address the efficiency issue, they often fail to accurately quantify images with diverse biological assays.
Authors
- Casey Kraft (ORCID: https://orcid.org/0000-0002-9376-6093)
- Mohammad Shameem (ORCID: https://orcid.org/0000-0003-0578-2622)
- Bhairab N. Singh (ORCID: https://orcid.org/0000-0002-9356-052X)
- Ahmed Sharara
Institutions
- University of Minnesota (US)
Publication Details
- Journal
- DNA and cell biology reports.
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1089/dcbr.2025.0032
- Citations
- 2
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.27