Whole-organism 3D quantitative characterization of zebrafish melanin by silver deposition micro-CT

Katz, Spencer R.; Yakovlev, Maksim A.; Vanselow, Daniel J.; Ding, Yifu; Lin, Alex Y.; Parkinson, Dilworth Y.; Wang, Yuxin; Canfield, Victor A.; Ang, Khai C.; Cheng, Keith C.

doi:10.7554/elife.68920

Whole-organism 3D quantitative characterization of zebrafish melanin by silver deposition micro-CT

Journal Article · Thu Sep 16 00:00:00 EDT 2021 · eLife

DOI:https://doi.org/10.7554/elife.68920· OSTI ID:1834581

Katz, Spencer R. ^[1]; Yakovlev, Maksim A. ^[1]; Vanselow, Daniel J. ^[1]; Ding, Yifu ^[1]; Lin, Alex Y. ^[1]; Parkinson, Dilworth Y. ^[2]; Wang, Yuxin ^[3]; Canfield, Victor A. ^[1]; Ang, Khai C. ^[1]; Cheng, Keith C. ^[1]

Pennsylvania State Univ., Hershey, PA (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Mobile Imaging Innovations, Inc., Palatine, IL (United States)

We previously described X-ray histotomography, a high-resolution, non-destructive form of X-ray microtomography (micro-CT) imaging customized for three-dimensional (3D), digital histology, allowing quantitative, volumetric tissue and organismal phenotyping (Ding et al., 2019). Here, we have combined micro-CT with a novel application of ionic silver staining to characterize melanin distribution in whole zebrafish larvae. The resulting images enabled whole-body, computational analyses of regional melanin content and morphology. Normalized micro-CT reconstructions of silver-stained fish consistently reproduced pigment patterns seen by light microscopy, and further allowed direct quantitative comparisons of melanin content across wild-type and mutant samples, including subtle phenotypes not previously noticed. Silver staining of melanin for micro-CT provides proof-of-principle for whole-body, 3D computational phenomic analysis of a specific cell type at cellular resolution, with potential applications in other model organisms and melanocytic neoplasms. Advances such as this in whole-organism, high-resolution phenotyping provide superior context for studying the phenotypic effects of genetic, disease, and environmental variables.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES); National Institutes of Health (NIH)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1834581

Journal Information:: eLife, Journal Name: eLife Vol. 10; ISSN 2050-084X

Publisher:: eLife Sciences Publications, Ltd.Copyright Statement

Country of Publication:: United States

Language:: English

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