An automated label-free cell classification system based on quantitative phase imaging and deep learning

2020 ◽  
Author(s):  
Xin Shu ◽  
Md Habibur Rahman ◽  
Yi Ping Ho ◽  
Renjie Zhou
Keyword(s):  
Deep Learning ◽  
Classification System ◽  
Free Cell ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Cell Classification ◽  
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.

Super-resolution quantitative phase imaging of out-of-focus images based on deep learning

2021 ◽  
Author(s):  
Xin Qian ◽  
Hao Ding ◽  
Fajing Li ◽  
Shouping Nie ◽  
Caojin Yuan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Super Resolution ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Reagent- and actuator-free analysis of individual erythrocytes using three-dimensional quantitative phase imaging and capillary microfluidics

2021 ◽  
Author(s):  
DongHun Ryu ◽  
Hyeono Nam ◽  
Jessie Sungyun Jeon ◽  
YongKeun Park
Keyword(s):  
Blood Cells ◽  
Histopathological Examination ◽  
Point Of Care ◽  
Hemoglobin Concentration ◽  
Biochemical Properties ◽  
Phase Imaging ◽  
Sample Treatment ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

Histopathological examination of blood cells plays a crucial role in the diagnosis of various diseases. However, it involves time-consuming and laborious staining procedures required for microscopic review by medical experts and is not directly applicable for point-of-care diagnosis in resource-limited locations. This study reports a dilution-, actuation- and label-free method for the analysis of individual red blood cells (RBCs) using a capillary microfluidic device and quantitative phase imaging. Blood, without any sample treatment, is directly loaded into a micrometer-thick channel such that it forms a quasi-monolayer inside the channel. The morphological and biochemical properties of RBCs, including hemoglobin concentration, hemoglobin content, and corpuscular volume, were retrieved using the refractive index tomograms of individual RBCs measured using 3D quantitative phase imaging. The deformability of individual RBCs was also obtained by measuring the dynamic membrane fluctuations. The proposed framework applies to other imaging modalities and biomedical applications, facilitating rapid and cost-effective diagnosis and prognosis of diseases.

scholarly journals Quantitative phase imaging in dual-wavelength interferometry using a single wavelength illumination and deep learning

2020 ◽  
Vol 28 (19) ◽  
pp. 28140
Author(s):  
Jiaosheng Li ◽  
Qinnan Zhang ◽  
Liyun Zhong ◽  
Jindong Tian ◽  
Giancarlo Pedrini ◽  
...  
Keyword(s):  
Deep Learning ◽  
Dual Wavelength ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase
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