Tissue diagnosis using nanoscale morphological markers extracted from quantitative phase images

Masanori Takabayashi, Hassaan Majeed, Andre Kajdacsy-Balla, Gabriel Popescu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The intrinsic markers of nanoscale morphological alteration in fixed tissue biopsy referred to as disorder strength and local correlation length, which can be easily and time-efficiently obtained from quantitative phase images, are introduced. After presenting how to extract these markers from quantitative phase images obtained by highly sensitive quantitative phase imaging system, spatial light interference microscopy (SLIM), we demonstrate the effectiveness of these markers for diagnosis of benign and malignant breast tissues.

Original languageEnglish (US)
Title of host publicationOptical Design and Testing IX
EditorsYongtian Wang, Pablo Benitez, Osamu Matoba
PublisherSPIE
ISBN (Electronic)9781510630871
DOIs
StatePublished - Jan 1 2019
EventOptical Design and Testing IX 2019 - Hangzhou, China
Duration: Oct 21 2019Oct 22 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11185
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptical Design and Testing IX 2019
CountryChina
CityHangzhou
Period10/21/1910/22/19

Keywords

  • Biopsy slide diagnosis
  • Breast cancer
  • Quantitative phase imaging

ASJC Scopus subject areas

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

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  • Cite this

    Takabayashi, M., Majeed, H., Kajdacsy-Balla, A., & Popescu, G. (2019). Tissue diagnosis using nanoscale morphological markers extracted from quantitative phase images. In Y. Wang, P. Benitez, & O. Matoba (Eds.), Optical Design and Testing IX [111850B] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11185). SPIE. https://doi.org/10.1117/12.2538728