3D/4D multiscale imaging in acute lymphoblastic leukemia cells: Visualizing dynamics of cell death

Sreelatha Sarangapani; Rosmin Elsa Mohan; Ajeetkumar Patil; Matthew J. Lang; Anand Asundi

doi:10.1117/12.2270979

3D/4D multiscale imaging in acute lymphoblastic leukemia cells: Visualizing dynamics of cell death

Sreelatha Sarangapani, Rosmin Elsa Mohan, Ajeetkumar Patil, Matthew J. Lang, Anand Asundi

Department of Atomic and Molecular Physics, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Quantitative phase detection is a new methodology that provides quantitative information on cellular morphology to monitor the cell status, drug response and toxicity. In this paper the morphological changes in acute leukemia cells treated with chitosan were detected using d'Bioimager a robust imaging system. Quantitative phase image of the cells was obtained with numerical analysis. Results show that the average area and optical volume of the chitosan treated cells is significantly reduced when compared with the control cells, which reveals the effect of chitosan on the cancer cells. From the results it can be attributed that d'Bioimager can be used as a non-invasive imaging alternative to measure the morphological changes of the living cells in real time.

Original language	English
Title of host publication	Fifth International Conference on Optical and Photonics Engineering
Publisher	SPIE
Volume	10449
ISBN (Electronic)	9781510613720
DOIs	https://doi.org/10.1117/12.2270979
Publication status	Published - 01-01-2017
Event	5th International Conference on Optical and Photonics Engineering - Singapore, Singapore Duration: 04-04-2017 → 07-04-2017

Conference

Conference	5th International Conference on Optical and Photonics Engineering
Country/Territory	Singapore
City	Singapore
Period	04-04-17 → 07-04-17

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1117/12.2270979

Cite this

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title = "3D/4D multiscale imaging in acute lymphoblastic leukemia cells: Visualizing dynamics of cell death",

abstract = "Quantitative phase detection is a new methodology that provides quantitative information on cellular morphology to monitor the cell status, drug response and toxicity. In this paper the morphological changes in acute leukemia cells treated with chitosan were detected using d'Bioimager a robust imaging system. Quantitative phase image of the cells was obtained with numerical analysis. Results show that the average area and optical volume of the chitosan treated cells is significantly reduced when compared with the control cells, which reveals the effect of chitosan on the cancer cells. From the results it can be attributed that d'Bioimager can be used as a non-invasive imaging alternative to measure the morphological changes of the living cells in real time.",

author = "Sreelatha Sarangapani and Mohan, {Rosmin Elsa} and Ajeetkumar Patil and Lang, {Matthew J.} and Anand Asundi",

year = "2017",

month = jan,

day = "1",

doi = "10.1117/12.2270979",

language = "English",

volume = "10449",

booktitle = "Fifth International Conference on Optical and Photonics Engineering",

publisher = "SPIE",

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note = "5th International Conference on Optical and Photonics Engineering ; Conference date: 04-04-2017 Through 07-04-2017",

}

Sarangapani, S, Mohan, RE, Patil, A, Lang, MJ & Asundi, A 2017, 3D/4D multiscale imaging in acute lymphoblastic leukemia cells: Visualizing dynamics of cell death. in Fifth International Conference on Optical and Photonics Engineering. vol. 10449, 1044936, SPIE, 5th International Conference on Optical and Photonics Engineering, Singapore, Singapore, 04-04-17. https://doi.org/10.1117/12.2270979

TY - GEN

T1 - 3D/4D multiscale imaging in acute lymphoblastic leukemia cells

T2 - 5th International Conference on Optical and Photonics Engineering

AU - Sarangapani, Sreelatha

AU - Mohan, Rosmin Elsa

AU - Patil, Ajeetkumar

AU - Lang, Matthew J.

AU - Asundi, Anand

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Quantitative phase detection is a new methodology that provides quantitative information on cellular morphology to monitor the cell status, drug response and toxicity. In this paper the morphological changes in acute leukemia cells treated with chitosan were detected using d'Bioimager a robust imaging system. Quantitative phase image of the cells was obtained with numerical analysis. Results show that the average area and optical volume of the chitosan treated cells is significantly reduced when compared with the control cells, which reveals the effect of chitosan on the cancer cells. From the results it can be attributed that d'Bioimager can be used as a non-invasive imaging alternative to measure the morphological changes of the living cells in real time.

AB - Quantitative phase detection is a new methodology that provides quantitative information on cellular morphology to monitor the cell status, drug response and toxicity. In this paper the morphological changes in acute leukemia cells treated with chitosan were detected using d'Bioimager a robust imaging system. Quantitative phase image of the cells was obtained with numerical analysis. Results show that the average area and optical volume of the chitosan treated cells is significantly reduced when compared with the control cells, which reveals the effect of chitosan on the cancer cells. From the results it can be attributed that d'Bioimager can be used as a non-invasive imaging alternative to measure the morphological changes of the living cells in real time.

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DO - 10.1117/12.2270979

M3 - Conference contribution

AN - SCOPUS:85034088413

VL - 10449

BT - Fifth International Conference on Optical and Photonics Engineering

PB - SPIE

Y2 - 4 April 2017 through 7 April 2017

ER -

3D/4D multiscale imaging in acute lymphoblastic leukemia cells: Visualizing dynamics of cell death

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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