43 citations · 179 across the 14 of their papers we have counts for
14 papers
Recording dynamic facial micro-expressions with a multi-focus camera array
Lucas Kreiss, Weiheng Tang, Ramana Balla +9
We present an approach of utilizing a multi-camera array system for capturing dynamic high-resolution videos of the human face, with improved imaging performance as compared to tra…
Rapid 3D imaging at cellular resolution for digital cytopathology with a multi-camera array scanner (MCAS)
Kanghyun Kim, Amey Chaware, Clare B. Cook +16
Optical microscopy has long been the standard method for diagnosis in cytopathology. Whole slide scanners can image and digitize large sample areas automatically, but are slow, exp…
Beneath the Surface: Revealing Deep-Tissue Blood Flow in Human Subjects with Massively Parallelized Diffuse Correlation Spectroscopy
Lucas Kreiss, Melissa Wu, Michael Wayne +17
Diffuse Correlation Spectroscopy (DCS) allows the label-free investigation of microvascular dynamics deep within living tissue. However, common implementations of DCS are currently…
Tensorial tomographic Fourier Ptychography with applications to muscle tissue imaging
Shiqi Xu, Xiang Dai, Paul Ritter +11
We report Tensorial tomographic Fourier Ptychography (ToFu), a new non-scanning label-free tomographic microscopy method for simultaneous imaging of quantitative phase and anisotro…
Digital staining in optical microscopy using deep learning -- a review
Lucas Kreiss, Shaowei Jiang, Xiang Li +13
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental…
Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second
Kevin C. Zhou, Mark Harfouche, Colin L. Cooke +17
To study the behavior of freely moving model organisms such as zebrafish (Danio rerio) and fruit flies (Drosophila) across multiple spatial scales, it would be ideal to use a light…
Imaging across multiple spatial scales with the multi-camera array microscope
Mark Harfouche, Kanghyun Kim, Kevin C. Zhou +22
This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array of "…
Multi-modal imaging using a cascaded microscope design
Xi Yang, Mark Harfouche, Kevin C. Zhou +4
We present a new Multimodal Fiber Array Snapshot Technique (M-FAST), based on an array of 96 compact cameras placed behind a primary objective lens and a fiber bundle array. which…
Tensorial tomographic differential phase-contrast microscopy
Shiqi Xu, Xiang Dai, Xi Yang +5
We report Tensorial Tomographic Differential Phase-Contrast microscopy (T2DPC), a quantitative label-free tomographic imaging method for simultaneous measurement of phase and aniso…
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding
Shiqi Xu, Wenhui Liu, Xi Yang +11
Fast noninvasive probing of spatially varying decorrelating events, such as cerebral blood flow beneath the human skull, is an essential task in various scientific and clinical set…
Increasing a microscope's effective field of view via overlapped imaging and machine learning
Xing Yao, Vinayak Pathak, Haoran Xi +9
This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on a single sensor for high-efficiency automated specimen analysis.…
Multi-element microscope optimization by a learned sensing network with composite physical layers
Kanghyun Kim, Pavan Chandra Konda, Colin L. Cooke +2
Standard microscopes offer a variety of settings to help improve the visibility of different specimens to the end microscope user. Increasingly, however, digital microscopes are us…
Physics-enhanced machine learning for virtual fluorescence microscopy
Colin L. Cooke, Fanjie Kong, Amey Chaware +7
This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy. Our results show that by including a model of illumination within the first…
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification
Amey Chaware, Colin L. Cooke, Kanghyun Kim +1
Recent machine learning techniques have dramatically changed how we process digital images. However, the way in which we capture images is still largely driven by human intuition a…