findWormz is a user-friendly automated fluorescence quantification method for C. elegans research.

The nematode <i>Caenorhabditis elegans</i> is a powerful model organism for fluorescent imaging studies due to its simplicity, transparency, well-characterized anatomy, and ease of genetic manipulation. However, the scale and statistical power of <i>C. elegans</i> imaging experiments can be limited by the time and effort required to manually quantify fluorescence intensity in individual worms. Recent advances in automated image analysis have used artificial intelligence models and user-supplied training data sets to automate biological image quantification. While these tools have the potential to significantly expedite a variety of research applications in <i>C. elegans</i> and other model organisms, they can be difficult to implement and troubleshoot, particularly for researchers with little or no computational training. Here, we introduce a simple method to automate <i>C. elegans</i> fluorescence quantification that is accessible to users able to install the free program R and edit a single line of code described here.

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Publication Details

Journal
PubMed
Published
2025-03-05
DOI
https://doi.org/10.17912/micropub.biology.001562
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67
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article

findWormz is a user-friendly automated fluorescence quantification method for C. elegans research.

Scott F. Leiser, John R. Dean, Elizabeth S Kitto
1 citations
PubMed
Advanced Chemical Sensor Technologies
0.67
article

findWormz is a user-friendly automated fluorescence quantification method for C. elegans research.

Scott F. Leiser, John R. Dean, Elizabeth S Kitto
article en
1 citations

Abstract

The nematode <i>Caenorhabditis elegans</i> is a powerful model organism for fluorescent imaging studies due to its simplicity, transparency, well-characterized anatomy, and ease of genetic manipulation. However, the scale and statistical power of <i>C. elegans</i> imaging experiments can be limited by the time and effort required to manually quantify fluorescence intensity in individual worms. Recent advances in automated image analysis have used artificial intelligence models and user-supplied training data sets to automate biological image quantification. While these tools have the potential to significantly expedite a variety of research applications in <i>C. elegans</i> and other model organisms, they can be difficult to implement and troubleshoot, particularly for researchers with little or no computational training. Here, we introduce a simple method to automate <i>C. elegans</i> fluorescence quantification that is accessible to users able to install the free program R and edit a single line of code described here.

PubMedVol. 2025
University of Michigan (US), Michigan United (US)
Openalex Percentile: Top 32%
Advanced Chemical Sensor Technologies
0.67
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findWormz is a user-friendly automated fluorescence quantification method for C. elegans research. — Scott F. Leiser, John R. Dean, et al. · PubMed (2025) | TGRS Research Map | TGRS