Ankit Butola, Biswajoy Ghosh, Jaena Park, Minsung Kwon, Alejandro De la Cadena, Sudipta S Mukherjee, Rohit Bhargava, Stephen A Boppart, Krishna Agarwal
{"title":"Label-free correlative morpho-chemical tomography of 3D kidney mesangial cells","authors":"Ankit Butola, Biswajoy Ghosh, Jaena Park, Minsung Kwon, Alejandro De la Cadena, Sudipta S Mukherjee, Rohit Bhargava, Stephen A Boppart, Krishna Agarwal","doi":"arxiv-2409.10971","DOIUrl":null,"url":null,"abstract":"Label-free characterization of biological specimens seeks to supplement\nexisting imaging techniques and avoid the need for contrast agents that can\ndisturb the native state of living samples. Conventional label-free optical\nimaging techniques are compatible with living samples but face challenges such\nas poor sectioning capability, fragmentary morphology, and lack chemical\nspecific information. Here, we combined simultaneous label-free\nautofluorescence multi-harmonic (SLAM) microscopy and gradient light\ninterference microscopy (GLIM) to extract both chemical specific and\nmorphological tomography of 3D cultured kidney mesangial cells. Imaging 3D in\nvitro kidney models is essential to understand kidney function and pathology.\nOur correlative approach enables imaging and quantification of these cells to\nextract both morphology and chemical-specific signals that is crucial for\nunderstanding kidney function. In our approach, SLAM offers a nonlinear imaging\nplatform with a single-excitation source to simultaneously acquire\nautofluorescence (FAD and NAD(P)H), second, and third harmonic signal from the\n3D cultured cells. Complementarily, GLIM acquires high-contrast quantitative\nphase information to quantify structural changes in samples with thickness of\nup to 250 micron. Our correlative imaging results demonstrate a versatile and\nhassle-free platform for morpho-chemical cellular tomography to investigate\nfunctions such as metabolism and matrix deposition of kidney mesangial cells in\n3D under controlled physiological conditions.","PeriodicalId":501214,"journal":{"name":"arXiv - PHYS - Optics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Label-free characterization of biological specimens seeks to supplement
existing imaging techniques and avoid the need for contrast agents that can
disturb the native state of living samples. Conventional label-free optical
imaging techniques are compatible with living samples but face challenges such
as poor sectioning capability, fragmentary morphology, and lack chemical
specific information. Here, we combined simultaneous label-free
autofluorescence multi-harmonic (SLAM) microscopy and gradient light
interference microscopy (GLIM) to extract both chemical specific and
morphological tomography of 3D cultured kidney mesangial cells. Imaging 3D in
vitro kidney models is essential to understand kidney function and pathology.
Our correlative approach enables imaging and quantification of these cells to
extract both morphology and chemical-specific signals that is crucial for
understanding kidney function. In our approach, SLAM offers a nonlinear imaging
platform with a single-excitation source to simultaneously acquire
autofluorescence (FAD and NAD(P)H), second, and third harmonic signal from the
3D cultured cells. Complementarily, GLIM acquires high-contrast quantitative
phase information to quantify structural changes in samples with thickness of
up to 250 micron. Our correlative imaging results demonstrate a versatile and
hassle-free platform for morpho-chemical cellular tomography to investigate
functions such as metabolism and matrix deposition of kidney mesangial cells in
3D under controlled physiological conditions.