2020
DOI: 10.33448/rsd-v9i11.9586
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Techniques using ImageJ for histomorphometric studies

Abstract: Computational histomorphometry is an available and easy tool that has been used in the assessment of morphophysiological tissue changes, offering greater scientific reliability to the data, as well as facilitating the automation process. The present work aimed to describe the application of the methodology of the free software ImageJ for morphological evaluation of fish tissues. For this, micrographs of histological sections of the intestinal tract of fish stained with Periodic Acid-Schiff (PAS) were used as a… Show more

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Cited by 2 publications
(2 citation statements)
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“…(2023) and Curvo et al. (2020), we used histological photographs and Fiji‐ImageJ software (Schindelin et al., 2012) to determine the number of goblet cells, thickness of the muscle layer, and the perimeter and area of the lumen, as a proxy for the absorption surface. We analyzed these variables only for the esophagus and intestine segments, as the degree of stomach fullness (i.e., full vs. empty) could cause measurement bias.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…(2023) and Curvo et al. (2020), we used histological photographs and Fiji‐ImageJ software (Schindelin et al., 2012) to determine the number of goblet cells, thickness of the muscle layer, and the perimeter and area of the lumen, as a proxy for the absorption surface. We analyzed these variables only for the esophagus and intestine segments, as the degree of stomach fullness (i.e., full vs. empty) could cause measurement bias.…”
Section: Methodsmentioning
confidence: 99%
“…For a quantitative examination of the digestive tract traits, we took three histological photographs of each segment from five individuals per species. Following the methodology outlined by Bellinate et al (2023) and Curvo et al (2020), we used histological photographs and Fiji-ImageJ software (Schindelin et al, 2012) to determine the number of goblet cells, thickness of the muscle layer, and the perimeter and area of the lumen, as a proxy for the absorption surface. We analyzed these variables only for the esophagus and intestine segments, as the degree of stomach fullness (i.e., full vs. empty) could cause measurement bias.…”
Section: Histology and Histochemistrymentioning
confidence: 99%