Miniaturized and Thin Microscope with Learnable Real-time Reconstruction

Feng Tian; Weijian Yang

doi:10.1364/CLEO_AT.2023.ATu3Q.3

CLEO 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper ATu3Q.3
•https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.3

Miniaturized and Thin Microscope with Learnable Real-time Reconstruction

Feng Tian and Weijian Yang

CLEO: Applications and Technology 2023

San Jose, CA United States
7–12 May 2023
ISBN: 978-1-957171-25-8

From the session
Machine Learning for Microscopy (ATu3Q)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
F. Tian and W. Yang, "Miniaturized and Thin Microscope with Learnable Real-time Reconstruction," in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper ATu3Q.3.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We demonstrate a miniaturized and thin microscope using custom designed doublet microlens array and a deep learning based multi-stage reconstruction model. The microscope is capable of real-time fluorescent imaging at a large field of view.

PDF Article

More Like This

Miniaturized and Thin 3D Microscope with Learnable Real-time Reconstruction

Feng Tian and Weijian Yang
BM3B.3 Optics and the Brain (BRAIN) 2023

Miniaturized and Thin 3D Microscope with Fast Reconstruction

Feng Tian and Weijian Yang
SM5O.3 CLEO: Science and Innovations (CLEO:S&I) 2022

Computational Miniature Mesoscope with deep learning reconstruction

Qianwan Yang, Guorong Hu, Yujia Xue, and Lei Tian
FTu6D.3 Frontiers in Optics (FiO) 2022

Previous Article Next Article