Work

A Fiji process for quantifying fluorescent puncta in linear cellular structures

Year: 2023

Type: article

Abstract: have relied on proprietary software for a full range of analysis capabilities. Here we describe a set of macros written for the NIH-supported imaging software ImageJ or Fiji (Fiji is Just ImageJ) that reliably identify protein puncta so that they can be analyzed with respect to intensity, density, and width at half-maximum intensity (Full-Width, Half-Maximum, FWHM). We provide an explanation of the workflow, data outputs, and limitations of the Fiji macro. As part of this integration, we also provide two independent data sets with side-by-side analyses using the proprietary IgorPro software and the Fiji macro (Hulsey-Vincent, et al. A, B., 2023 submitted). The Fiji macro is an important new tool because it provides robust, reproducible data analysis in a free, open-source format.

Source: PubMed Central

DOI: 10.17912/micropub.biology.001003

Authors: Heino Hulsey-Vincent, Neriah Alvinez, Samuel Witus, Jennifer R. Kowalski, Caroline Dahlberg

Institutions: Western Washington University, Fred Hutch Cancer Center, University of California, Berkeley, Butler University

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: Western Washington University, National Institutes of Health, National Institute of Neurological Disorders and Stroke

Awards: Caenorhabditis Genetics Center, Investigation of the role of the G protein-coupled receptor FSHR-1 in multi-tissue control of neuromuscular signaling in normal and oxidative stress conditions