{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T22:59:26Z","timestamp":1782514766102,"version":"3.54.5"},"reference-count":37,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T00:00:00Z","timestamp":1680739200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Intelligent Systems"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:sec><jats:label\/><jats:p>Particle assemblies created by software package Blender are converted into artificial scanning electron micrographs (SEM) with a generative adversarial network (GAN). The introduction of height maps (i.e., surface topography or relief structure) considerably enhances the quality of the artificial SEM images by providing 3D information on the input data. These artificial images serve as input data to train a convolutional neural network (CNN) to identify and classify nanoparticles. Although the performance of the CNN trained with artificial SEM images is slightly inferior to the same CNN trained with real SEM images, this offers a pathway to create training data for segmentation and classification networks for SEM image analysis by deep learning algorithms.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202300004","type":"journal-article","created":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T05:03:14Z","timestamp":1680757394000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Artificial Scanning Electron Microscopy Images Created by Generative Adversarial Networks from Simulated Particle Assemblies"],"prefix":"10.1002","volume":"5","author":[{"given":"Jonas","family":"Bals","sequence":"first","affiliation":[{"name":"Inorganic Chemistry and Center for Nanointegration Duisburg-Essen (CENIDE) University of Duisburg-Essen  45117 Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1641-7068","authenticated-orcid":false,"given":"Matthias","family":"Epple","sequence":"additional","affiliation":[{"name":"Inorganic Chemistry and Center for Nanointegration Duisburg-Essen (CENIDE) University of Duisburg-Essen  45117 Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,4,6]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","unstructured":"K.He X.Zhang S.Ren J.Sun in2016 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) IEEE Piscataway NJ2016 pp.770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_2_8_4_1","unstructured":"J.Long E.Shelhamer T.Darrell 2015 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) IEEE Piscataway NJ June 2015 pp.3431\u20133440."},{"key":"e_1_2_8_5_1","unstructured":"O.Ronneberger P.Fischer T.Brox arXiv2015 1505.04597."},{"key":"e_1_2_8_6_1","unstructured":"A.Krizhevsky I.Sutskever G. E.Hinton inProc. of the 25th Int. Conf. on Neural Information Processing Systems - Volume 1 Curran Associates Inc. Lake Tahoe Nevada2012 pp.1097\u20131105."},{"key":"e_1_2_8_7_1","first-page":"2672","volume":"27","author":"Goodfellow I.","year":"2014","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-021-09672-w"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-84287-6"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1039\/C4AY01203H"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-019-0396-z"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jconrel.2019.02.030"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11661-020-06008-4"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-019-0221-0"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/mawe.202100285"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-13565-z"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.nanolett.8b04461"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.micron.2019.02.009"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-65261-0"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/jmi.12853"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1039\/D0NR04140H"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1021\/acsnano.0c06809"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-022-00734-6"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1021\/jacs.5b04641"},{"key":"e_1_2_8_28_1","doi-asserted-by":"publisher","DOI":"10.1557\/mrs.2013.84"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemmater.0c00539"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43246-020-0033-2"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1039\/D0DT02028A"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41578-021-00337-5"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemmater.2c02924"},{"key":"e_1_2_8_34_1","doi-asserted-by":"publisher","DOI":"10.1021\/acsnano.1c10074"},{"key":"e_1_2_8_35_1","unstructured":"Community B. O. Blender 3.3.0; Blender Online Community 2022 http:\/\/www.blender.org."},{"key":"e_1_2_8_36_1","doi-asserted-by":"publisher","DOI":"10.1039\/D2RA07812K"},{"key":"e_1_2_8_37_1","unstructured":"J. Y.Zhu T.Park P.Isola A. A.Efros inIEEE CVPR 2017 IEEE Piscataway NJ2017 pp.2223\u20132232."},{"key":"e_1_2_8_38_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1431927603444917"}],"container-title":["Advanced Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/advanced.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/aisy.202300004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T23:45:27Z","timestamp":1759880727000},"score":1,"resource":{"primary":{"URL":"https:\/\/advanced.onlinelibrary.wiley.com\/doi\/10.1002\/aisy.202300004"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,6]]},"references-count":37,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["10.1002\/aisy.202300004"],"URL":"https:\/\/doi.org\/10.1002\/aisy.202300004","archive":["Portico"],"relation":{},"ISSN":["2640-4567","2640-4567"],"issn-type":[{"value":"2640-4567","type":"print"},{"value":"2640-4567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,6]]},"assertion":[{"value":"2023-01-03","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-04-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2300004"}}