Increasing a microscope’s effective field of view via overlapped imaging and machine learning-Reference-Cited by-同舟云学术

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

Published:2022-01-06 Issue:2 Volume:30 Page:1745
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Yao Xing,Pathak Vinayak,Xi Haoran,Chaware Amey,Cooke Colin,Kim Kanghyun^ORCID,Xu Shiqi,Li Yuting,Dunn Timothy,Chandra Konda Pavan^ORCID,Zhou Kevin C.^ORCID,Horstmeyer Roarke

Funder

Duke University

National Institutes of Health

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference37 articles.

1. A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN

2. Computational microscopic imaging for malaria parasite detection: a systematic review

3. Effects of Malaria Parasite Density on Blood Cell Parameters

4. Analysis of the clinical profile in patients with Plasmodium falciparum malaria and its association with parasite density

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural network-based processing and reconstruction of compromised biophotonic image data;Light: Science & Applications;2024-09-04

2. Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review;Electronics;2024-08-11

3. A miniaturized mesoscope for the large-scale single-neuron-resolved imaging of neuronal activity in freely behaving mice;Nature Biomedical Engineering;2024-06-20

4. The Impact of Artificial Intelligence on Microbial Diagnosis;Microorganisms;2024-05-23

5. A Systematically Optimized Miniaturized Mesoscope (SOMM) for large-scale calcium imaging in freely moving mice;2024-02-22