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25 April 2018 Disorder strength calculation for label-free diagnosis of tissue biopsies using quantitative phase imaging
Masanori Takabayashi, Hassaan Majeed, Andre Kajdacsy-Balla, Gabriel Popescu
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Proceedings Volume 10503, Quantitative Phase Imaging IV; 105032A (2018) https://doi.org/10.1117/12.2293987
Event: SPIE BiOS, 2018, San Francisco, California, United States
Abstract
The standard method for cancer diagnosis is the microscopic investigation of tissue biopsies. Because the tissues do not significantly absorb and scatter light, traditionally, the observation is performed using bright-field microscopy after staining. Although this approach has been widely adopted all over the world for 100 years, it generally takes a long preparation time and sometimes the early carcinogenesis is missed due to a variation in a quality of a staining. Quantitative phase imaging (QPI) can access objective information on thickness and refractive index changes from an unstained tissue slice, which cannot be observed by conventional microscopes. This can be an attractive advantage in the field of a medical diagnosis, especially since QPI can access the tissue architecture information with nanoscale sensitivity. In this paper, we used quantitative phase imaging to measure the tissue disorder strength, which is known as one of the effective markers of early carcinogenesis. We retrieved the disorder parameter from the local refractive index fluctuation map obtained by spatial light interference microscopy (SLIM). We show that SLIM imaging combined with the disorder analysis is a valuable approach for screening of benign and malignant breast tissue biopsies.
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Masanori Takabayashi, Hassaan Majeed, Andre Kajdacsy-Balla, and Gabriel Popescu "Disorder strength calculation for label-free diagnosis of tissue biopsies using quantitative phase imaging", Proc. SPIE 10503, Quantitative Phase Imaging IV, 105032A (25 April 2018); https://doi.org/10.1117/12.2293987
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KEYWORDS
Tissues
Biopsy
Phase imaging
Microscopy
Refractive index
Cancer
Information architecture
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