ArticleScientific reports2023
ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentation.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- From manual counting to YOLO: Using computer vision to automate large-scale fecundity assays in C. elegans.PloS one · 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
- β-Amyloid induces microglial expression of GPC4 and APOE leading to increased neuronal tau pathology and toxicity.Molecular neurodegeneration · 2025Article
- SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning.Advances in wound care · 2025Article
- Behavioural and neural correlates of social hierarchy formation in a sex-changing fish.Proceedings. Biological sciences · 2025Article
- PCP Auto Count: A Novel Fiji/ImageJ plug-in for automated quantification of planar cell polarity and cell counting.bioRxiv : the preprint server for biology · 2024Article
- Article
- PCP auto count: a novel Fiji/ImageJ plug-in for automated quantification of planar cell polarity and cell counting.Frontiers in cell and developmental biology · 2024Article
- A semi-automated cell tracking protocol for quantitative analyses of neutrophil swarming to sterile andbioRxiv : the preprint server for biology · 2023Article
- Challenges of Cell Counting in Cell Therapy Products.Cell transplantationReview
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Counting cells is a cornerstone of tracking disease progression in neuroscience. A common approach for this process is having trained researchers individually select and count cells within an image, which is not only difficult to standardize but also very time-consuming. While tools exist to automatically count cells in images, the accuracy and accessibility of such tools can be improved. Thus, we introduce a novel tool ACCT: Automatic Cell Counting with Trainable Weka Segmentation which allows for flexible automatic cell counting via object segmentation after user-driven training. ACCT is demonstrated with a comparative analysis of publicly available images of neurons and an in-house dataset of immunofluorescence-stained microglia cells. For comparison, both datasets were manually counted to demonstrate the applicability of ACCT as an accessible means to automatically quantify cells in a precise manner without the need for computing clusters or advanced data preparation.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.