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Computational aberration correction of VIS-NIR multispectral imaging microscopy based on Fourier ptychography

Shen, Cheng and Chan, Antony Chi Shing and Chung, Jaebum and Williams, D. Elliott and Hajimiri, Ali and Yang, Changhuei (2019) Computational aberration correction of VIS-NIR multispectral imaging microscopy based on Fourier ptychography. Optics Express, 27 (18). pp. 24923-24937. ISSN 1094-4087. https://resolver.caltech.edu/CaltechAUTHORS:20190926-144327410

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Abstract

Due to the chromatic dispersion properties inherent in all optical materials, even the best-designed multispectral objective will exhibit residual chromatic aberration. Here, we demonstrate a multispectral microscope with a computational scheme based on the Fourier ptychographic microscopy (FPM) to correct these effects in order to render undistorted, in-focus images. The microscope consists of 4 spectral channels ranging from 405 nm to 1552 nm. After the computational aberration correction, it can achieve isotropic resolution enhancement as verified with the Siemens star sample. We image a flip-chip to show the promise of our system to conduct fault detection on silicon chips. This computational approach provides a cost-efficient strategy for high quality multispectral imaging over a broad spectral range.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1364/oe.27.024923DOIArticle
ORCID:
AuthorORCID
Shen, Cheng0000-0001-7136-4715
Chung, Jaebum0000-0003-3932-8428
Hajimiri, Ali0000-0001-6736-8019
Yang, Changhuei0000-0001-8791-0354
Additional Information:© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Received 4 Jun 2019; revised 2 Aug 2019; accepted 5 Aug 2019; published 19 Aug 2019. Funding: California Institute of Technology (Caltech Innovation Initiative (CII): 25570015). We thank Hangwen Lu and Xiaoyu Liu for their initial efforts to this project, Ruizhi Cao for his constructive discussion and the generous help from Michelle Cua and Craig Ives.
Funders:
Funding AgencyGrant Number
Caltech Innovation Initiative (CI2)25570015
Issue or Number:18
Record Number:CaltechAUTHORS:20190926-144327410
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190926-144327410
Official Citation:Cheng Shen, Antony Chi Shing Chan, Jaebum Chung, D. Elliott Williams, Ali Hajimiri, and Changhuei Yang, "Computational aberration correction of VIS-NIR multispectral imaging microscopy based on Fourier ptychography," Opt. Express 27, 24923-24937 (2019)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98883
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Sep 2019 21:53
Last Modified:03 Oct 2019 21:45

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