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 …

[HTML][HTML] Resolution enhancement of digital holographic microscopy via synthetic aperture: a review

P Gao, C Yuan - Light: Advanced Manufacturing, 2022 - light-am.com
Digital holographic microscopy (DHM), which combines digital holography with optical
microscopy, is a wide field, minimally invasive quantitative phase microscopy (QPM) …

Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery

Y Wu, Y Rivenson, Y Zhang, Z Wei, H Günaydin, X Lin… - Optica, 2018 - opg.optica.org
Holography encodes the three-dimensional (3D) information of a sample in the form of an
intensity-only recording. However, to decode the original sample image from its hologram …

[HTML][HTML] Tomographic flow cytometry by digital holography

F Merola, P Memmolo, L Miccio, R Savoia… - Light: Science & …, 2017 - nature.com
High-throughput single-cell analysis is a challenging task. Label-free tomographic phase
microscopy is an excellent candidate to perform this task. However, in-line tomography is …

3D intensity and phase imaging from light field measurements in an LED array microscope

L Tian, L Waller - optica, 2015 - opg.optica.org
Realizing high resolution across large volumes is challenging for 3D imaging techniques
with high-speed acquisition. Here, we describe a new method for 3D intensity and phase …

Lensless imaging and sensing

A Ozcan, E McLeod - Annual review of biomedical engineering, 2016 - annualreviews.org
High-resolution optical microscopy has traditionally relied on high-magnification and high–
numerical aperture objective lenses. In contrast, lensless microscopy can provide high …

Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy

A Greenbaum, W Luo, TW Su, Z Göröcs, L Xue… - Nature …, 2012 - nature.com
We discuss unique features of lens-free computational imaging tools and report some of
their emerging results for wide-field on-chip microscopy, such as the achievement of a …

[HTML][HTML] Quantitative phase imaging techniques for the study of cell pathophysiology: from principles to applications

KR Lee, K Kim, J Jung, JH Heo, S Cho, S Lee… - Sensors, 2013 - mdpi.com
A cellular-level study of the pathophysiology is crucial for understanding the mechanisms
behind human diseases. Recent advances in quantitative phase imaging (QPI) techniques …

AI on a chip

A Isozaki, J Harmon, Y Zhou, S Li, Y Nakagawa… - Lab on a Chip, 2020 - pubs.rsc.org
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

[HTML][HTML] Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning

H Wang, H Ceylan Koydemir, Y Qiu, B Bai… - Light: Science & …, 2020 - nature.com
Early identification of pathogenic bacteria in food, water, and bodily fluids is very important
and yet challenging, owing to sample complexities and large sample volumes that need to …