Scanned laser pico projection and stokes-mueller matrix imaging polarimetry for detecting cancer cells with different cytoskeletal organizations and metastatic potencies

Yu Jen Chang, Yu-Lung Lo, Wen-Tai Chiu, Chih Ling Huang, Heng Ai Chang, Quoc Hung Phan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The scanned laser pico-projection (SLPP) method and Stokes-Mueller matrix polarimetry technique are used to distinguish cancer cells with different cytoskeletal organizations and metastatic potencies. The speckle contrast of human bone osteosarcoma cancer cells (U2OS) with different cytoskeletal drug treatments is measured by the SLPP method. The results show that the contrast is directly related to the organization of the microtubules and actin fibers. The Stokes-Mueller matrix polaimetry technique is employed to measure polarization parameters of the same samples. The measurement results are found to be consistent with those obtained using the SLPP method. Finally, the Stokes-Mueller matrix polaimetry technique is used to extract the polarization parameters of cell-pairs with different metastatic potencies. It is shown that the extracted value of the linear phase retardance (β) is particularly sensitive to the organization of the microtubules and actin fibers. Furthermore, the linear phase retardance (β) and depolarization index (Δ) are both sensitive to the metastatic potency of the cancer cells. In general, both techniques provide a rapid, noninvasive and label-free approach for distinguishing cancer cells with different cytoskeleton organizations and metastatic potentials, and are thus of significant benefit in evaluating the malignancy of cancer cells.

Original languageEnglish
Article number8556511
JournalIEEE Photonics Journal
Volume10
Issue number6
DOIs
Publication statusPublished - 2018 Dec 1

Fingerprint

Polarimeters
polarimetry
projection
cancer
Cells
Imaging techniques
Lasers
matrices
lasers
Polarization
Drug therapy
fibers
Fibers
Depolarization
polarization
Speckle
depolarization
bones
Labels
Bone

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Cite this

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title = "Scanned laser pico projection and stokes-mueller matrix imaging polarimetry for detecting cancer cells with different cytoskeletal organizations and metastatic potencies",
abstract = "The scanned laser pico-projection (SLPP) method and Stokes-Mueller matrix polarimetry technique are used to distinguish cancer cells with different cytoskeletal organizations and metastatic potencies. The speckle contrast of human bone osteosarcoma cancer cells (U2OS) with different cytoskeletal drug treatments is measured by the SLPP method. The results show that the contrast is directly related to the organization of the microtubules and actin fibers. The Stokes-Mueller matrix polaimetry technique is employed to measure polarization parameters of the same samples. The measurement results are found to be consistent with those obtained using the SLPP method. Finally, the Stokes-Mueller matrix polaimetry technique is used to extract the polarization parameters of cell-pairs with different metastatic potencies. It is shown that the extracted value of the linear phase retardance (β) is particularly sensitive to the organization of the microtubules and actin fibers. Furthermore, the linear phase retardance (β) and depolarization index (Δ) are both sensitive to the metastatic potency of the cancer cells. In general, both techniques provide a rapid, noninvasive and label-free approach for distinguishing cancer cells with different cytoskeleton organizations and metastatic potentials, and are thus of significant benefit in evaluating the malignancy of cancer cells.",
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Scanned laser pico projection and stokes-mueller matrix imaging polarimetry for detecting cancer cells with different cytoskeletal organizations and metastatic potencies. / Chang, Yu Jen; Lo, Yu-Lung; Chiu, Wen-Tai; Huang, Chih Ling; Chang, Heng Ai; Phan, Quoc Hung.

In: IEEE Photonics Journal, Vol. 10, No. 6, 8556511, 01.12.2018.

Research output: Contribution to journalArticle

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