scholarly journals Accurate evaluation of size and refractive index for spherical objects in quantitative phase imaging

2018 ◽  
Vol 26 (8) ◽  
pp. 10729 ◽  
Author(s):  
Paul Müller ◽  
Mirjam Schürmann ◽  
Salvatore Girardo ◽  
Gheorghe Cojoc ◽  
Jochen Guck
Keyword(s):  
Refractive Index ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Accurate Evaluation ◽  
Quantitative Phase

scholarly journals Tissue disorder strength measured by quantitative phase imaging as intrinsic cancer marker

2017 ◽  
Author(s):  
Masanori Takabayashi ◽  
Hassaan Majeed ◽  
Andre Kajdacsy-Balla ◽  
Gabriel Popescu
Keyword(s):  
Refractive Index ◽  
Imaging System ◽  
Tissue Sample ◽  
Optical Path Length ◽  
Phase Imaging ◽  
Disorder Strength ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Path Length Difference ◽  
Malignant Breast

AbstractTissue refractive index provides important information about morphology at the nanoscale. Since the malignant transformation involves both intra- and inter-cellular changes in the refractive index map, the tissue disorder measurement can be used to extract important diagnosis information. Quantitative phase imaging (QPI) provides a practical means of extracting this information as it maps the optical path-length difference (OPD) across a tissue sample with sub-wavelength sensitivity. In this work, we employ QPI to compare the tissue disorder strength between benign and malignant breast tissue histology samples. Our results show that disease progression is marked by a significant increase in the disorder strength. Since our imaging system can be added as an upgrading module to an existing microscope, we anticipate that it can be integrated easily in the pathology work flow.

scholarly journals Refractive index variance of cells and tissues measured by quantitative phase imaging

2017 ◽  
Vol 25 (2) ◽  
pp. 1573 ◽  
Author(s):  
Mingguang Shan ◽  
Mikhail E. Kandel ◽  
Gabriel Popescu
Keyword(s):  
Refractive Index ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning

2019 ◽  
Author(s):  
Geon Kim ◽  
Daewoong Ahn ◽  
Minhee Kang ◽  
YoungJu Jo ◽  
Donghun Ryu ◽  
...  
Keyword(s):  
Refractive Index ◽  
Deep Learning ◽  
Infectious Diseases ◽  
Bacterial Pathogens ◽  
Bacterial Species ◽  
Three Dimensional ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

ABSTRACTFor appropriate treatments of infectious diseases, rapid identification of the pathogens is crucial. Here, we developed a rapid and label-free method for identifying common bacterial pathogens as individual bacteria by using three-dimensional quantitative phase imaging and deep learning. We achieved 95% accuracy in classifying 19 bacterial species by exploiting the rich information in three-dimensional refractive index tomograms with a convolutional neural network classifier. Extensive analysis of the features extracted by the trained classifier was carried out, which supported that our classifier is capable of learning species-dependent characteristics. We also confirmed that utilizing three-dimensional refractive index tomograms was crucial for identification ability compared to two-dimensional imaging. This method, which does not require time-consuming culture, shows high feasibility for diagnosing patients with infectious diseases who would benefit from immediate and adequate antibiotic treatment.

scholarly journals Melittin-induced alterations in morphology and deformability of human red blood cells using quantitative phase imaging techniques

2016 ◽  
Author(s):  
Joonseok Hur ◽  
Kyoohyun Kim ◽  
SangYun Lee ◽  
HyunJoo Park ◽  
YongKeun Park
Keyword(s):  
Refractive Index ◽  
Red Blood Cells ◽  
Blood Cells ◽  
Imaging Techniques ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Active Molecule ◽  
Quantitative Phase ◽  
Human Red Blood Cells ◽  
Phase Images

Here, the actions of melittin, the active molecule of apitoxin or bee venom, were investigated on human red blood cells (RBCs) using quantitative phase imaging techniques. High-resolution realtime 3-D refractive index (RI) measurements and dynamic 2-D phase images of individual melittin-bound RBCs enabled in-depth examination of melittin-induced biophysical alterations of the cells. From the measurements, morphological, biochemical, and mechanical alterations of the RBCs were analyzed quantitatively. Furthermore, leakage of haemoglobin (Hb) inside the RBCs at high melittin concentration was also investigated.

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