Search Results for author: Roarke Horstmeyer

Found 17 papers, 4 papers with code

Computational 3D topographic microscopy from terabytes of data per sample

no code implementations5 Jun 2023 Kevin C. Zhou, Mark Harfouche, Maxwell Zheng, Joakim Jönsson, Kyung Chul Lee, Ron Appel, Paul Reamey, Thomas Doman, Veton Saliu, Gregor Horstmeyer, Roarke Horstmeyer

We present a large-scale computational 3D topographic microscope that enables 6-gigapixel profilometric 3D imaging at micron-scale resolution across $>$110 cm$^2$ areas over multi-millimeter axial ranges.

3D Reconstruction

Digital staining in optical microscopy using deep learning -- a review

no code implementations14 Mar 2023 Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer

Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology.


Large-scale single-photon imaging

no code implementations28 Dec 2022 Liheng Bian, Haoze Song, Lintao Peng, Xuyang Chang, Xi Yang, Roarke Horstmeyer, Lin Ye, Tong Qin, Dezhi Zheng, Jun Zhang

Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantum computing.


Tensorial tomographic differential phase-contrast microscopy

no code implementations25 Apr 2022 Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer

We report Tensorial Tomographic Differential Phase-Contrast microscopy (T2DPC), a quantitative label-free tomographic imaging method for simultaneous measurement of phase and anisotropy.

Increasing a microscope's effective field of view via overlapped imaging and machine learning

no code implementations10 Oct 2021 Xing Yao, Vinayak Pathak, Haoran Xi, Amey Chaware, Colin Cooke, Kanghyun Kim, Shiqi Xu, Yuting Li, Timothy Dunn, Pavan Chandra Konda, Kevin C. Zhou, Roarke Horstmeyer

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.

BIG-bench Machine Learning

Mesoscopic photogrammetry with an unstabilized phone camera

1 code implementation CVPR 2021 Kevin C. Zhou, Colin Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu

We present a feature-free photogrammetric technique that enables quantitative 3D mesoscopic (mm-scale height variation) imaging with tens-of-micron accuracy from sequences of images acquired by a smartphone at close range (several cm) under freehand motion without additional hardware.

Reconstructing undersampled photoacoustic microscopy images using deep learning

2 code implementations30 May 2020 Anthony DiSpirito III, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, Junjie Yao

One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed.

3D Action Recognition

Diffraction tomography with a deep image prior

1 code implementation10 Dec 2019 Kevin C. Zhou, Roarke Horstmeyer

We present a tomographic imaging technique, termed Deep Prior Diffraction Tomography (DP-DT), to reconstruct the 3D refractive index (RI) of thick biological samples at high resolution from a sequence of low-resolution images collected under angularly varying illumination.

Image and Video Processing Biological Physics Optics

Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification

no code implementations22 Oct 2019 Amey Chaware, Colin L. Cooke, Kanghyun Kim, Roarke Horstmeyer

Here we focus on one such degree of freedom - illumination within a microscope - which can drastically alter information captured by the image sensor.

General Classification

Convolutional neural networks that teach microscopes how to image

no code implementations21 Sep 2017 Roarke Horstmeyer, Richard Y. Chen, Barbara Kappes, Benjamin Judkewitz

Deep learning algorithms offer a powerful means to automatically analyze the content of medical images.

Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays

no code implementations28 Oct 2015 Jason Holloway, M. Salman Asif, Manoj Kumar Sharma, Nathan Matsuda, Roarke Horstmeyer, Oliver Cossairt, Ashok Veeraraghavan

Recent advances in ptychography have demonstrated that one can image beyond the diffraction limit of the objective lens in a microscope.

Retrieval Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.