ArticleTechnology in cancer research & treatment
Using Bland-Altman Analysis to Identify Appropriate Clonogenic Assay Colony Counting Techniques.
Article in Technology in cancer research & treatment. 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, 1 citations in OpenAlex.
- Discovery of thienopyrimidine analog G-18 as a novel anti-trichomonal agent.International journal for parasitology. Drugs and drug resistance · 2026Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveDetermine the interchangeability of various methods utilized for counting colonies in clonogenic assays.
methodsClonogenic assays of 2 head and neck cancer cell lines were counted through 4 different counting modalities: Manual counting pen, via microscope, 1 publicly available automated algorithm, and a semiautomated algorithm presented by the authors. Each method counted individual wells (N = 24). Pen and microscopic counts were performed by 2 observers. Parameters included both low-growth (<150 colonies/well) and high-growth (>150 colonies/well) cell lines. Correlational and Bland-Altman analyses were performed using SPSS software.
resultsInterobserver manual pen count correlation
conclusionCounting with a manual pen demonstrated significant bias when compared to microscopic and semiautomated colony counts; 2 methods were deemed to be interchangeable. Thus, training algorithms based on manual counts may introduce this bias as well. Algorithms trained to select colonies based on size (pixels
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