ArticleScientific reports2025
Efficient cytoplasmic cell quantification using a semi-automated FIJI-based tool.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Defective HNF1A hinders GLI3 processing favoring duodenal versus pancreatic fate, thus leading to intestinal elongation in vivo.Genes & development · 2026Article
- Endocrine-disrupting chemical exposure during differentiation alters the proliferation-maturation balance in stem-cell islets.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- A semi-automated pipeline integrating ImageJ/Fiji and StarDist for the reproducible quantification of cellular and optical density metrics in immunofluorescence images of brain tissue.Frontiers in neuroanatomy · 2026Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Quantification of subcellular structures such as nuclei and cytoplasmic proteins using staining methods based on fluorescent dyes or fluorescently tagged antibodies are widely used in scientific research. Accurate high-throughput quantitation of these assays can be time consuming and challenging. Here, we present our FIJI based Semi-Automated counting Macro termed SAM, and we validate its accuracy against manual counting and other automated counting methods. By introducing this automated quantification tool, we aim to contribute to the ongoing efforts to enhance the reliability, efficiency, and standardization of immunostaining analysis in the field of diabetes research and beyond.
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