Gill Alterations in Adult Zebrafish Exposed to Avobenzone: Morphometric Profiling and Machine-Learning Analysis

Gill histopathology is widely used in fish toxicology, but lesion scores and targeted measurements capture only part of the structural information in routine sections. We tested whether a morphometric profile could quantify avobenzone-related changes in adult zebrafish gills. The 40× dataset comprised gill sections from 35 adult zebrafish across five conditions represented in the image dataset: a 4-day solvent-control group and fish exposed to nominal avobenzone concentrations of 3 or 9 μg/L for 4 or 21 days. From 750 fields, quality control and automated segmentation yielded 503 accepted masks; 360 fields (72 per condition) were used in the balanced analysis. Thirty-nine descriptors quantified tissue geometry, interlamellar spaces, branch-like organisation, and thickness heterogeneity. Validation was repeated 30 times with all fields from each fish kept in the same partition. The time-matched 4-day control-versus-exposed comparison reached 89.4 ± 4.1% balanced accuracy. The 3-versus-9 μg/L comparison at 4 days reached 88.7 ± 4.6%, and 4 versus 21 days within the 9 μg/L group reached 88.5 ± 5.0%. Performance for direct five-condition classification was lower (68.4 ± 5.1%). Because 21-day control images were not included, exposure-related inference was restricted to the time-matched 4-day comparison. Morphometric profiling provides a quantitative complement to conventional histopathology while preserving individual fish identity as the grouping unit for image analysis.

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Publication Details

Journal
Animals
Published
2026-10-19
DOI
https://doi.org/10.3390/ani16203293
Primary Topic
Environmental Toxicology and Ecotoxicology
Type
article
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article

Gill Alterations in Adult Zebrafish Exposed to Avobenzone: Morphometric Profiling and Machine-Learning Analysis

Mehdi Forouzanfar, Elvira Brunelli, Khoshnaz Payandeh, Anna Pinnarelli et al.
Animals
Environmental Toxicology and Ecotoxicology
article

Gill Alterations in Adult Zebrafish Exposed to Avobenzone: Morphometric Profiling and Machine-Learning Analysis

Mehdi Forouzanfar, Elvira Brunelli, Khoshnaz Payandeh, Anna Pinnarelli, Sanaz Roveyshedzadeh
article en

Abstract

Gill histopathology is widely used in fish toxicology, but lesion scores and targeted measurements capture only part of the structural information in routine sections. We tested whether a morphometric profile could quantify avobenzone-related changes in adult zebrafish gills. The 40× dataset comprised gill sections from 35 adult zebrafish across five conditions represented in the image dataset: a 4-day solvent-control group and fish exposed to nominal avobenzone concentrations of 3 or 9 μg/L for 4 or 21 days. From 750 fields, quality control and automated segmentation yielded 503 accepted masks; 360 fields (72 per condition) were used in the balanced analysis. Thirty-nine descriptors quantified tissue geometry, interlamellar spaces, branch-like organisation, and thickness heterogeneity. Validation was repeated 30 times with all fields from each fish kept in the same partition. The time-matched 4-day control-versus-exposed comparison reached 89.4 ± 4.1% balanced accuracy. The 3-versus-9 μg/L comparison at 4 days reached 88.7 ± 4.6%, and 4 versus 21 days within the 9 μg/L group reached 88.5 ± 5.0%. Performance for direct five-condition classification was lower (68.4 ± 5.1%). Because 21-day control images were not included, exposure-related inference was restricted to the time-matched 4-day comparison. Morphometric profiling provides a quantitative complement to conventional histopathology while preserving individual fish identity as the grouping unit for image analysis.

AnimalsVol. 16(20)
Islamic Azad University, Ahvaz Branch (IR), University of Calabria (IT)
Openalex Percentile: Top 17%
Environmental Toxicology and Ecotoxicology
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