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Opto-Electronic Advances, Volume. 6, Issue 6, 230083(2023)

In-flow holographic tomography boosts lipid droplet quantification

Michael John Fanous1 and Aydogan Ozcan1,2,3,4、*
Author Affiliations
  • 1Electrical and Computer Engineering Department, University of California, Los Angeles 90095 CA, USA
  • 2Bioengineering Department, University of California, Los Angeles 90095 CA, USA
  • 3California NanoSystems Institute (CNSI), University of California, Los Angeles 90095 CA, USA
  • 4Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles 90095 CA, USA
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    (a) TPM QPM of an ovarian cancer cell containing LDs, scale bar 5 μm. (b) Derived RI distribution of a similar cell. (c) A 3D rendering of the individual LDs based on an RI threshold.

    Fig. 1. (a) TPM QPM of an ovarian cancer cell containing LDs, scale bar 5 μm. (b) Derived RI distribution of a similar cell. (c) A 3D rendering of the individual LDs based on an RI threshold.

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    Michael John Fanous, Aydogan Ozcan. In-flow holographic tomography boosts lipid droplet quantification[J]. Opto-Electronic Advances, 2023, 6(6): 230083

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    Paper Information

    Category: Research Articles

    Received: May. 15, 2023

    Accepted: May. 17, 2023

    Published Online: Oct. 8, 2023

    The Author Email:

    DOI:10.29026/oea.2023.230083

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology