scholarly journals Tissue spatial correlation as cancer marker

2018 ◽  
Author(s):  
Masanori Takabayashi ◽  
Hassaan Majeed ◽  
Andre Kajdacsy-Balla ◽  
Gabriel Popescu
Keyword(s):  
Spatial Autocorrelation ◽  
Fourier Transforms ◽  
Interference Microscopy ◽  
Phase Image ◽  
Phase Imaging ◽  
Imaging Data ◽  
Cancer Marker ◽  
Fixed Tissue ◽  
Quantitative Phase ◽  
Autocorrelation Length

AbstractWe propose a new intrinsic cancer marker in fixed tissue biopsy slides, which is based on the local spatial autocorrelation length obtained from quantitative phase images. The spatial autocorrelation length in a small region of the tissue phase image is sensitive to the nanoscale cellular morphological alterations and can hence inform on carcinogenesis. Therefore, this metric can potentially be used as an intrinsic cancer marker in histopathology. Typically, these correlation length maps are calculated by computing 2D Fourier transforms over image sub-regions – requiring long computational times. In this paper, we propose a more time efficient method of computing the correlation map and demonstrate its value for diagnosis of benign and malignant breast tissues. Our methodology is based on highly sensitive quantitative phase imaging data obtained by spatial light interference microscopy (SLIM).

scholarly journals Disorder strength measured by quantitative phase imaging as intrinsic cancer marker in fixed tissue biopsies

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194320 ◽  
Author(s):  
Masanori Takabayashi ◽  
Hassaan Majeed ◽  
Andre Kajdacsy-Balla ◽  
Gabriel Popescu
Keyword(s):  
Phase Imaging ◽  
Disorder Strength ◽  
Quantitative Phase Imaging ◽  
Cancer Marker ◽  
Fixed Tissue ◽  
Quantitative Phase

scholarly journals Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yanfen Li ◽  
Michael J. Fanous ◽  
Kristopher A. Kilian ◽  
Gabriel Popescu
Keyword(s):  
Cancer Cells ◽  
Metastatic Potential ◽  
Melanoma Cells ◽  
Interference Microscopy ◽  
Patient Specific ◽  
Phase Imaging ◽  
Matrix Stiffness ◽  
Quantitative Phase Imaging ◽  
Complex Signals ◽  
Quantitative Phase

Abstract Cancer progression involves complex signals within the tumor microenvironment that orchestrate proliferation and invasive processes. The mechanical properties of the extracellular matrix (ECM) within this microenvironment has been demonstrated to influence growth and the migratory phenotype that precedes invasion. Here we present the integration of a label-free quantitative phase imaging technique, spatial light interference microscopy (SLIM)—with protein-conjugated hydrogel substrates—to explore how the stiffness of the ECM influences melanoma cells of varying metastatic potential. Melanoma cells of high metastatic potential demonstrate increased growth and velocity characteristics relative to cells of low metastatic potential. Cell velocity in the highly metastatic population shows a relative stability at higher matrix stiffness suggesting adoption of migratory routines that are independent of mechanics to facilitate invasion. The use of SLIM and engineered substrates provides a new approach to characterize the invasive properties of live cells as a function of microenvironment parameters. This work provides fundamental insight into the relationship between growth, migration and metastatic potential, and provides a new tool for profiling cancer cells for clinical grading and development of patient-specific therapeutic regimens.

scholarly journals The potential and prospects of the quantitative phase imaging (QPI) diagnostic technology in obstetrics and gynecology

2018 ◽  
Vol 46 (8) ◽  
pp. 758-764
Author(s):  
R. A. Lifenko ◽  
O. S. Popova ◽  
A. G. Topuzov ◽  
V. D. Zverzhhovsky
Keyword(s):  
Uterine Leiomyoma ◽  
Interference Microscopy ◽  
Competent Cell ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Cytotoxic Potential ◽  
Quantitative Phase ◽  
Non Invasive ◽  
Phase Interference ◽  
Diagnostic Technology

Rationale:An important role of immunological factors in the endometriosis pathophysiology allows for their consideration as diagnostic and prognostic disease markers. A promising approach to the diagnosis of immunological abnormalities is based on the non-invasive cell diagnostic technology of quantitative phase imaging (QPI), with underlying principles of laser interferometry and holography.Aim:To assess the QPI potential to identify diagnostic criteria for cell immunity abnormalities in female patients with external endometriosis.Materials and methods:We performed a quantitative assessment of the cytotoxic potential of peripheral blood lymphocytes from 22 patients with endometrioid ovarian cysts (mean age, 27.1 ± 3.4 years), 20 patients with uterine leiomyoma (mean age, 29.3 ± 4.1 years) and 20 health non-pregnant women of child-bearing age (mean age, 28.7 ± 3.6 years). We used the non-invasive QPI technique with the module for phase interference microscopy of the Russian hardand software complex Bioni (Westtrade Ltd., Russia).Results:We studied phase interference pictures of native lymphocytes to identify morphological and densitometry characteristics for CD4+ и CD8+ cells. Two groups of cells were identified in the cytotoxic lymphocyte population, which differed in their values of the phase thickness (Hcyt) and the area of cytoplasm adjacent to the membrane and containing the perforin granules (Scyt). It was found, that in the healthy controls the proportion of perforin-positive cytotoxic CD8+ lymphocytes was 37.1 ± 5.15%, in the patients with endometriosis 29.8 ± 6.34%, and in those with uterine leiomyoma 42.6 ± 5.89%.Discussion:Assessment of the lymphocyte cytotoxic potential by quantitative determination of cells containing perforin granules may be an important diagnostic and prognostic criterion of the disease course.Conclusion:Studies of the intracellular structures of lymphocytes by non-invasive and non-reagent technology QPI allows not only for a detailed evaluation of pathophysiological mechanisms of immune competent cell transformation in the course of a pathological process, but also gives future directions for development of new approaches to functional assessment of the immune system based on the results obtained.

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