Multi-wavelength phase imaging interference microscopy

2006 ◽  
Author(s):  
Nilanthi Warnasooriya ◽  
Myung K. Kim
Keyword(s):  
Interference Microscopy ◽  
Phase Imaging ◽  
Multi Wavelength

scholarly journals LED-based multi-wavelength phase imaging interference microscopy

2007 ◽  
Vol 15 (15) ◽  
pp. 9239 ◽  
Author(s):  
N. Warnasooriya ◽  
M. K. Kim
Keyword(s):  
Interference Microscopy ◽  
Phase Imaging ◽  
Multi Wavelength

scholarly journals Quantitative Histopathology of Stained Tissues using Color Spatial Light Interference Microscopy (cSLIM)

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Hassaan Majeed ◽  
Adib Keikhosravi ◽  
Mikhail E. Kandel ◽  
Tan H. Nguyen ◽  
Yuming Liu ◽  
...  
Keyword(s):  
New Technologies ◽  
Imaging Modality ◽  
Interference Microscopy ◽  
Phase Imaging ◽  
Bright Field Image ◽  
Interferometric Imaging ◽  
Breast Cancer Patients ◽  
Prognostic Information ◽  
Light Interference ◽  
Tissue Phase

Abstract Tissue biopsy evaluation in the clinic is in need of quantitative disease markers for diagnosis and, most importantly, prognosis. Among the new technologies, quantitative phase imaging (QPI) has demonstrated promise for histopathology because it reveals intrinsic tissue nanoarchitecture through the refractive index. However, a vast majority of past QPI investigations have relied on imaging unstained tissues, which disrupts the established specimen processing. Here we present color spatial light interference microscopy (cSLIM) as a new whole-slide imaging modality that performs interferometric imaging on stained tissue, with a color detector array. As a result, cSLIM yields in a single scan both the intrinsic tissue phase map and the standard color bright-field image, familiar to the pathologist. Our results on 196 breast cancer patients indicate that cSLIM can provide stain-independent prognostic information from the alignment of collagen fibers in the tumor microenvironment. The effects of staining on the tissue phase maps were corrected by a mathematical normalization. These characteristics are likely to reduce barriers to clinical translation for the new cSLIM technology.

scholarly journals Patterned substrates modulate growth and dynamics of 3D cellular systems

2019 ◽  
Author(s):  
Michael J. Fanous ◽  
Yanfen Li ◽  
Mikhail E. Kandel ◽  
Kristopher A. Kilian ◽  
Gabriel Popescu
Keyword(s):  
Cell Mass ◽  
Mouse Embryonic Fibroblast ◽  
Growth Patterns ◽  
Cellular Systems ◽  
Polar Coordinates ◽  
Interference Microscopy ◽  
Phase Imaging ◽  
Label Free ◽  
Patterned Substrates ◽  
Independent Manner

AbstractThe development of 3D cellular architectures during development and pathological processes involves intricate migratory patterns that are modulated by genetics and the surrounding microenvironment. The substrate composition of cell cultures has been demonstrated to influence growth, proliferation, and migration in 2D. Here we study the growth and dynamics of mouse embryonic fibroblast (MEF) cultures patterned in a tissue sheet which then exhibits 3D growth. Using gradient light interference microscopy (GLIM), a label-free quantitative phase imaging approach, we explored the influence of geometry on cell growth patterns and rotational dynamics. We apply, for the first time to our knowledge, dispersion-relation phase spectroscopy (DPS) in polar coordinates to generate the radial and rotational cell mass-transport. Our data show that cells cultured on engineered substrates undergo rotational transport in a radially independent manner and exhibit faster vertical growth than the control, unpatterned cells. The use of GLIM and polar DPS provides a novel quantitative approach to studying the effects of spatially patterned substrates on cell motility and growth.

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).

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