43 citations · 104 across the 9 of their papers we have counts for
9 papers
Detecting immune cells with label-free two-photon autofluorescence and deep learning
Lucas Kreiss, Amey Chaware, Maryam Roohian +7
Label-free imaging has gained broad interest because of its potential to omit elaborate staining procedures which is especially relevant for in vivo use. Label-free multiphoton mic…
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…
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…
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 "…
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.…
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…