Artificial intelligence-enabled quantitative phase imaging methods for life sciences
Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and
label-free investigation of the physiology and pathology of biological systems. This review …
label-free investigation of the physiology and pathology of biological systems. This review …
On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
[HTML][HTML] Advancing healthcare: synergizing biosensors and machine learning for early cancer diagnosis
Cancer is a fatal disease and a significant cause of millions of deaths. Traditional methods
for cancer detection often have limitations in identifying the disease in its early stages, and …
for cancer detection often have limitations in identifying the disease in its early stages, and …
Label-free cell classification in holographic flow cytometry through an unbiased learning strategy
G Ciaparrone, D Pirone, P Fiore, L Xin, W Xiao, X Li… - Lab on a Chip, 2024 - pubs.rsc.org
Nowadays, label-free imaging flow cytometry at the single-cell level is considered the
stepforward lab-on-a-chip technology to address challenges in clinical diagnostics, biology …
stepforward lab-on-a-chip technology to address challenges in clinical diagnostics, biology …
[HTML][HTML] Phenotyping neuroblastoma cells through intelligent scrutiny of stain-free biomarkers in holographic flow cytometry
To efficiently tackle certain tumor types, finding new biomarkers for rapid and complete
phenotyping of cancer cells is highly demanded. This is especially the case for the most …
phenotyping of cancer cells is highly demanded. This is especially the case for the most …
Application of artificial intelligence (AI)-enhanced biochemical sensing in molecular diagnosis and imaging analysis: Advancing and challenges
H Li, H Xu, Y Li, X Li - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Biochemical sensing plays a vital role in the research of life and natural science. However,
with the increase of environmental complexity and amount of sample, traditional sensors …
with the increase of environmental complexity and amount of sample, traditional sensors …
Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry
Image-based identification of circulating tumor cells in microfluidic cytometry condition is one
of the most challenging perspectives in the Liquid Biopsy scenario. Here we show a …
of the most challenging perspectives in the Liquid Biopsy scenario. Here we show a …
Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods
L Xin, X Xiao, W Xiao, R Peng, H Wang, F Pan - Lab on a Chip, 2024 - pubs.rsc.org
The incidence of urothelial carcinoma continues to rise annually, particularly among the
elderly. Prompt diagnosis and treatment can significantly enhance patient survival and …
elderly. Prompt diagnosis and treatment can significantly enhance patient survival and …
Classification of paclitaxel-resistant ovarian cancer cells using holographic flow cytometry through interpretable machine learning
L Xin, W Xiao, H Zhang, Y Liu, X Li, P Ferraro… - Sensors and Actuators B …, 2024 - Elsevier
Progress has been made in chemotherapy drugs, but drug resistance remains a major
challenge in cancer treatment. In clinical practice, although there are existing technologies …
challenge in cancer treatment. In clinical practice, although there are existing technologies …
Phase flow cytometry with coherent modulation imaging
A Sun, X He, Z Jiang, Y Kong, S Wang… - Journal of …, 2023 - Wiley Online Library
Label‐free imaging and identification of fast‐moving cells is a very challenging task. A kind
of phase flow cytometry using coherent modulation imaging was proposed to realize label …
of phase flow cytometry using coherent modulation imaging was proposed to realize label …