{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T05:55:58Z","timestamp":1773986158750,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100012418","name":"Arizona Board of Regents","doi-asserted-by":"publisher","award":["1003329"],"award-info":[{"award-number":["1003329"]}],"id":[{"id":"10.13039\/100012418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3036380","type":"journal-article","created":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T20:56:32Z","timestamp":1604696192000},"page":"202648-202659","source":"Crossref","is-referenced-by-count":60,"title":["Deep DIH: Single-Shot Digital In-Line Holography Reconstruction by Deep Learning"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9143-4741","authenticated-orcid":false,"given":"Huayu","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8006-4383","authenticated-orcid":false,"given":"Xiwen","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zaoyi","family":"Chi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7517-0157","authenticated-orcid":false,"given":"Christopher","family":"Mann","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3330-6132","authenticated-orcid":false,"given":"Abolfazl","family":"Razi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/lsa.2017.141"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1364\/AO.57.003859"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1364\/OL.3.000027"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.19.001334"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1364\/OL.21.000842"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.29.002367"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2785879"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aac71a"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2020.02.002"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S0030-4018(03)01353-1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1364\/AO.46.007978"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2005.09.072"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.191361398"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7567\/1347-4065\/ab4d37"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.67.3102"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.73.001434"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.67.3106"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2013.07.013"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.12.001942"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1364\/OE.21.002220"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1364\/OL.35.002961"},{"key":"ref50","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref55","year":"2020","journal-title":"Live Paramecium 100X"},{"key":"ref54","author":"stern","year":"2020","journal-title":"Human Dendrites are Special"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(00)00023-6"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0392-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultramic.2004.08.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.617405"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1142\/S0218271817430209"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.4.000159"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/AO.21.002758"},{"key":"ref14","first-page":"237","article-title":"A practical algorithm for the determination of phase from image and diffraction plane pictures","volume":"35","author":"gerchberg","year":"1972","journal-title":"Optik"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/OE.20.029210"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1364\/AO.57.00A229"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.121.093902"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0030-4018(01)01556-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.012552"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.optmat.2004.08.079"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nnano.2015.2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1364\/AO.38.006994"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.382208"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1038\/161777a0","article-title":"A new misroscopic principle","volume":"161","author":"gabor","year":"1948","journal-title":"Nature"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.53.001377"},{"key":"ref49","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.98.233901"},{"key":"ref46","first-page":"1","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc ICML"},{"key":"ref45","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref48","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention (MICCAI)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/srep37862"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2012.12.007"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1364\/AO.47.00D176"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1364\/OE.20.022454"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09250441.pdf?arnumber=9250441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T21:53:39Z","timestamp":1643406819000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9250441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3036380","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}