Increasing a microscope’s effective field of view via overlapped imaging and machine learning
Publication
, Journal Article
Yao, X; Xi, H; Zhou, KC; Chaware, A; Cooke, C; Li, Y; Dunn, T; Konda, PC; Horstmeyer, R
Published in: Optics InfoBase Conference Papers
January 1, 2021
We demonstrate a multi-lenses microscopic imaging system that records overlapping fields-of-view for high-efficiency automated specimen analysis. We show both in simulation and experiment how our system can achieve accurate target object detection on overlapped images.
Duke Scholars
Published In
Optics InfoBase Conference Papers
EISSN
2162-2701
Publication Date
January 1, 2021
Citation
APA
Chicago
ICMJE
MLA
NLM
Yao, X., Xi, H., Zhou, K. C., Chaware, A., Cooke, C., Li, Y., … Horstmeyer, R. (2021). Increasing a microscope’s effective field of view via overlapped imaging and machine learning. Optics InfoBase Conference Papers.
Yao, X., H. Xi, K. C. Zhou, A. Chaware, C. Cooke, Y. Li, T. Dunn, P. C. Konda, and R. Horstmeyer. “Increasing a microscope’s effective field of view via overlapped imaging and machine learning.” Optics InfoBase Conference Papers, January 1, 2021.
Yao X, Xi H, Zhou KC, Chaware A, Cooke C, Li Y, et al. Increasing a microscope’s effective field of view via overlapped imaging and machine learning. Optics InfoBase Conference Papers. 2021 Jan 1;
Yao, X., et al. “Increasing a microscope’s effective field of view via overlapped imaging and machine learning.” Optics InfoBase Conference Papers, Jan. 2021.
Yao X, Xi H, Zhou KC, Chaware A, Cooke C, Li Y, Dunn T, Konda PC, Horstmeyer R. Increasing a microscope’s effective field of view via overlapped imaging and machine learning. Optics InfoBase Conference Papers. 2021 Jan 1;
Published In
Optics InfoBase Conference Papers
EISSN
2162-2701
Publication Date
January 1, 2021