Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering

Arnica Karuna; Francesco Masia; Marie Wiltshire; Rachel Errington; Paola Borri; Wolfgang Langbein

doi:10.1117/12.2510277

Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering

Arnica Karuna, Francesco Masia, Marie Wiltshire, Rachel Errington, Paola Borri, Wolfgang Langbein^*

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Quantitative determination of the chemical composition of unstained samples, non-invasively, with high three- dimensional spatio-temporal resolution, will accelerate progress in cell biology. The current state of the art in bioimaging is dominated by either chemically non-specific or invasive methods. In this work, we demonstrate label-free, non-invasive quantitative volumetric imaging of human osteosarcoma cells using coherent anti-Stokes Raman scattering microscopy. A data analysis method developed in-house was applied to represent the chemical composition of the cells as volumetric three-dimensional images indicating water, proteins, DNAP (mixture of DNA and proteins), and lipids, and to determine the dry masses of the organic components with picogram resolution.

Original language	English
Title of host publication	Proceedings of SPIE
Subtitle of host publication	Multiphoton Microscopy in the Biomedical Sciences XIX
Editors	Ammasi Periasamy, Peter T. C. So, Karsten Konig
Publisher	SPIE
Number of pages	11
Volume	10882
ISBN (Electronic)	978-151062406-1
DOIs	https://doi.org/10.1117/12.2510277
Publication status	Published - 2019
Event	Multiphoton Microscopy in the Biomedical Sciences XIX 2019 - San Francisco, United States Duration: 3 Feb 2019 → 6 Feb 2019

Publication series

Name	MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX
ISSN (Print)	0277-786X

Conference

Conference	Multiphoton Microscopy in the Biomedical Sciences XIX 2019
Country/Territory	United States
City	San Francisco
Period	3/02/19 → 6/02/19

Bibliographical note

Accepted Author Manuscript

Keywords

CARS, label-free imaging
Coherent anti-Stokes Raman scattering microscopy
Coherent Raman scattering

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10.1117/12.2510277

KarunaPW19 Label-free volumetric quantitative imaging of the human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scatteringAccepted author manuscript, 7.3 MB

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Karuna, A., Masia, F., Wiltshire, M., Errington, R., Borri, P., & Langbein, W. (2019). Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering. In A. Periasamy, P. T. C. So, & K. Konig (Eds.), Proceedings of SPIE: Multiphoton Microscopy in the Biomedical Sciences XIX (Vol. 10882). Article 108821P (MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX). SPIE. https://doi.org/10.1117/12.2510277

Karuna, Arnica ; Masia, Francesco ; Wiltshire, Marie et al. / Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering. Proceedings of SPIE: Multiphoton Microscopy in the Biomedical Sciences XIX. editor / Ammasi Periasamy ; Peter T. C. So ; Karsten Konig. Vol. 10882 SPIE, 2019. (MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX).

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title = "Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering",

abstract = "Quantitative determination of the chemical composition of unstained samples, non-invasively, with high three- dimensional spatio-temporal resolution, will accelerate progress in cell biology. The current state of the art in bioimaging is dominated by either chemically non-specific or invasive methods. In this work, we demonstrate label-free, non-invasive quantitative volumetric imaging of human osteosarcoma cells using coherent anti-Stokes Raman scattering microscopy. A data analysis method developed in-house was applied to represent the chemical composition of the cells as volumetric three-dimensional images indicating water, proteins, DNAP (mixture of DNA and proteins), and lipids, and to determine the dry masses of the organic components with picogram resolution.",

keywords = "CARS, label-free imaging, Coherent anti-Stokes Raman scattering microscopy, Coherent Raman scattering",

author = "Arnica Karuna and Francesco Masia and Marie Wiltshire and Rachel Errington and Paola Borri and Wolfgang Langbein",

note = "Accepted Author Manuscript ; Multiphoton Microscopy in the Biomedical Sciences XIX 2019 ; Conference date: 03-02-2019 Through 06-02-2019",

year = "2019",

doi = "10.1117/12.2510277",

language = "English",

volume = "10882",

series = "MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX",

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Karuna, A, Masia, F, Wiltshire, M, Errington, R, Borri, P & Langbein, W 2019, Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering. in A Periasamy, PTC So & K Konig (eds), Proceedings of SPIE: Multiphoton Microscopy in the Biomedical Sciences XIX. vol. 10882, 108821P, MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX, SPIE, Multiphoton Microscopy in the Biomedical Sciences XIX 2019, San Francisco, United States, 3/02/19. https://doi.org/10.1117/12.2510277

Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering. / Karuna, Arnica; Masia, Francesco; Wiltshire, Marie et al.
Proceedings of SPIE: Multiphoton Microscopy in the Biomedical Sciences XIX. ed. / Ammasi Periasamy; Peter T. C. So; Karsten Konig. Vol. 10882 SPIE, 2019. 108821P (MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Karuna, Arnica

AU - Masia, Francesco

AU - Wiltshire, Marie

AU - Errington, Rachel

AU - Borri, Paola

AU - Langbein, Wolfgang

N1 - Accepted Author Manuscript

PY - 2019

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N2 - Quantitative determination of the chemical composition of unstained samples, non-invasively, with high three- dimensional spatio-temporal resolution, will accelerate progress in cell biology. The current state of the art in bioimaging is dominated by either chemically non-specific or invasive methods. In this work, we demonstrate label-free, non-invasive quantitative volumetric imaging of human osteosarcoma cells using coherent anti-Stokes Raman scattering microscopy. A data analysis method developed in-house was applied to represent the chemical composition of the cells as volumetric three-dimensional images indicating water, proteins, DNAP (mixture of DNA and proteins), and lipids, and to determine the dry masses of the organic components with picogram resolution.

AB - Quantitative determination of the chemical composition of unstained samples, non-invasively, with high three- dimensional spatio-temporal resolution, will accelerate progress in cell biology. The current state of the art in bioimaging is dominated by either chemically non-specific or invasive methods. In this work, we demonstrate label-free, non-invasive quantitative volumetric imaging of human osteosarcoma cells using coherent anti-Stokes Raman scattering microscopy. A data analysis method developed in-house was applied to represent the chemical composition of the cells as volumetric three-dimensional images indicating water, proteins, DNAP (mixture of DNA and proteins), and lipids, and to determine the dry masses of the organic components with picogram resolution.

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Karuna A, Masia F, Wiltshire M, Errington R, Borri P, Langbein W. Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering. In Periasamy A, So PTC, Konig K, editors, Proceedings of SPIE: Multiphoton Microscopy in the Biomedical Sciences XIX. Vol. 10882. SPIE. 2019. 108821P. (MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX). doi: 10.1117/12.2510277

Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering

Abstract

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Keywords

Access to Document

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