Artificial intelligence-enabled quantitative phase imaging methods for life sciences

J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee… - Nature …, 2023 - nature.com
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 …

Quantitative phase imaging: recent advances and expanding potential in biomedicine

TL Nguyen, S Pradeep, RL Judson-Torres, J Reed… - ACS …, 2022 - ACS Publications
Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with
significant opportunities for biomedical applications. QPI uses the natural phase shift of light …

On the use of deep learning for phase recovery

K Wang, L Song, C Wang, Z Ren, G Zhao… - Light: Science & …, 2024 - nature.com
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 …

[HTML][HTML] Hypoxia, partial EMT and collective migration: Emerging culprits in metastasis

K Saxena, MK Jolly, K Balamurugan - Translational oncology, 2020 - Elsevier
Epithelial-mesenchymal transition (EMT) is a cellular biological process involved in
migration of primary cancer cells to secondary sites facilitating metastasis. Besides, EMT …

Perspectives on liquid biopsy for label‐free detection of “circulating tumor cells” through intelligent lab‐on‐chips

L Miccio, F Cimmino, I Kurelac, MM Villone, V Bianco… - View, 2020 - Wiley Online Library
Circulating tumor cells (CTCs) are rare tumor cells released from primary, metastatic, or
recurrent tumors in the peripheral blood of cancer patients. CTCs isolation from peripheral …

Comparative study of transcriptomics-based scoring metrics for the epithelial-hybrid-mesenchymal spectrum

P Chakraborty, JT George, S Tripathi… - … in bioengineering and …, 2020 - frontiersin.org
The Epithelial–mesenchymal transition (EMT) is a cellular process implicated in embryonic
development, wound healing, and pathological conditions such as cancer metastasis and …

Raman spectroscopy and its plasmon‐enhanced counterparts: A toolbox to probe protein dynamics and aggregation

AK Dhillon, A Sharma, V Yadav, R Singh… - Wiley …, 2024 - Wiley Online Library
Protein unfolding and aggregation are often correlated with numerous diseases such as
Alzheimer's, Parkinson's, Huntington's, and other debilitating neurological disorders. Such …

Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis

SM Mota, RE Rogers, AW Haskell… - Journal of medical …, 2021 - spiedigitallibrary.org
Purpose: Mesenchymal stem cells (MSCs) have demonstrated clinically relevant therapeutic
effects for treatment of trauma and chronic diseases. The proliferative potential …

Long-term label-free assessments of individual bacteria using three-dimensional quantitative phase imaging and hydrogel-based immobilization

J Shin, G Kim, J Park, M Lee, YK Park - Scientific Reports, 2023 - nature.com
Abstract Three-dimensional (3D) quantitative phase imaging (QPI) enables long-term label-
free tomographic imaging and quantitative analysis of live individual bacteria. However, the …

Automated classification of elliptical cancer cells with stain-free holographic imaging and self-supervised learning

A Rehman, H An, S Park, I Moon - Optics & Laser Technology, 2024 - Elsevier
Image-based stain-free elliptical cancer cell classification is challenging, due to the inter-
class morphological similarity. In this paper, we address the classification of different types of …