Automatic elimination of phase aberrations in digital holography based on Gaussian 1o-criterion and histogram segmentation

Simple item page
dc.contributor.authorChen, Zhenkaien
dc.contributor.authorZhou, Wenjingen
dc.contributor.authorDuan, Lianen
dc.contributor.authorZhang, Hongboen
dc.contributor.authorZheng, Huadongen
dc.contributor.authorXia, Xinxingen
dc.contributor.authorYu, Yingjieen
dc.contributor.authorPoon, Ting-chungen
dc.date.accessioned2023-08-11T13:33:12Zen
dc.date.available2023-08-11T13:33:12Zen
dc.date.issued2023-04en
dc.description.abstractWe propose a numerical and automatic quadratic phase aberration elimination method in digital holography for phase-contrast imaging. A histogram segmentation method based on Gaussian 1 sigma-criterion is used to obtain the accurate coefficients of quadratic aberrations using the weighted least-squares algorithm. This method needs no manual intervention for specimen-free zone or prior parameters of optical components. We also propose a maximum-minimum-average -standard deviation (MMASD) metric to quantitatively evaluate the effectiveness of quadratic aberration elimination. Simulation and experimental results are demonstrated to verify the efficacy of our proposed method over the traditional least-squares algorithm.en
dc.description.notesFunding. National Natural Science Foundation of China (61975112) ; National Key Research and Development Program of China (2020YFE024600) .en
dc.description.sponsorshipNational Natural Science Foundation of China [61975112]; National Key Research and Development Program of China [2020YFE024600]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1364/OE.486890en
dc.identifier.issn1094-4087en
dc.identifier.issue9en
dc.identifier.pmid37157246en
dc.identifier.urihttp://hdl.handle.net/10919/116020en
dc.identifier.volume31en
dc.language.isoenen
dc.publisherOptica Publishing Groupen
dc.subjectcontrast microscopyen
dc.subjectliving cellsen
dc.subjectcompensationen
dc.subjectcurvatureen
dc.subjectalgorithmen
dc.titleAutomatic elimination of phase aberrations in digital holography based on Gaussian 1o-criterion and histogram segmentationen
dc.title.serialOptics Expressen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
oe-31-9-13627.pdf
Size:
4.76 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections

Scholarly Works, Electrical and Computer Engineering