[{"status":"public","author":[{"first_name":"Zafran Hussain","id":"239296","last_name":"Shah","full_name":"Shah, Zafran Hussain"},{"first_name":"Marcel","last_name":"Müller","full_name":"Müller, Marcel"},{"first_name":"Tung-Cheng","full_name":"Wang, Tung-Cheng","last_name":"Wang"},{"last_name":"Scheidig","full_name":"Scheidig, Philip Maurice","first_name":"Philip Maurice"},{"full_name":"Schneider, Axel","orcid":"0000-0002-6632-3473","last_name":"Schneider","id":"213480","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-6632-3473/work/94914657","first_name":"Axel"},{"full_name":"Schüttpelz, Mark","last_name":"Schüttpelz","first_name":"Mark"},{"full_name":"Huser, Thomas","last_name":"Huser","first_name":"Thomas"},{"last_name":"Schenck","orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram","first_name":"Wolfram","id":"224375","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/94914472"}],"citation":{"chicago":"Shah, Zafran Hussain, Marcel Müller, Tung-Cheng Wang, Philip Maurice Scheidig, Axel Schneider, Mark Schüttpelz, Thomas Huser, and Wolfram Schenck. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” <i>Photonics Research</i> 9, no. 5 (2021). <a href=\"https://doi.org/10.1364/PRJ.416437\">https://doi.org/10.1364/PRJ.416437</a>.","short":"Z.H. Shah, M. Müller, T.-C. Wang, P.M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck, Photonics Research 9 (2021).","mla":"Shah, Zafran Hussain, et al. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” <i>Photonics Research</i>, vol. 9, no. 5, B168, The Optical Society, 2021, doi:<a href=\"https://doi.org/10.1364/PRJ.416437\">10.1364/PRJ.416437</a>.","ama":"Shah ZH, Müller M, Wang T-C, et al. Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. <i>Photonics Research</i>. 2021;9(5). doi:<a href=\"https://doi.org/10.1364/PRJ.416437\">10.1364/PRJ.416437</a>","ieee":"Z. H. Shah <i>et al.</i>, “Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images,” <i>Photonics Research</i>, vol. 9, no. 5, 2021.","alphadin":"<span style=\"font-variant:small-caps;\">Shah, Zafran Hussain</span> ; <span style=\"font-variant:small-caps;\">Müller, Marcel</span> ; <span style=\"font-variant:small-caps;\">Wang, Tung-Cheng</span> ; <span style=\"font-variant:small-caps;\">Scheidig, Philip Maurice</span> ; <span style=\"font-variant:small-caps;\">Schneider, Axel</span> ; <span style=\"font-variant:small-caps;\">Schüttpelz, Mark</span> ; <span style=\"font-variant:small-caps;\">Huser, Thomas</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. In: <i>Photonics Research</i> Bd. 9, The Optical Society (2021), Nr. 5","apa":"Shah, Z. H., Müller, M., Wang, T.-C., Scheidig, P. M., Schneider, A., Schüttpelz, M., … Schenck, W. (2021). Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. <i>Photonics Research</i>, <i>9</i>(5). <a href=\"https://doi.org/10.1364/PRJ.416437\">https://doi.org/10.1364/PRJ.416437</a>","bibtex":"@article{Shah_Müller_Wang_Scheidig_Schneider_Schüttpelz_Huser_Schenck_2021, title={Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images}, volume={9}, DOI={<a href=\"https://doi.org/10.1364/PRJ.416437\">10.1364/PRJ.416437</a>}, number={5B168}, journal={Photonics Research}, publisher={The Optical Society}, author={Shah, Zafran Hussain and Müller, Marcel and Wang, Tung-Cheng and Scheidig, Philip Maurice and Schneider, Axel and Schüttpelz, Mark and Huser, Thomas and Schenck, Wolfram}, year={2021} }"},"publisher":"The Optical Society","date_updated":"2026-03-17T15:28:17Z","intvolume":"         9","doi":"10.1364/PRJ.416437","language":[{"iso":"eng"}],"year":"2021","_id":"1201","article_number":"B168","volume":9,"title":"Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images","date_created":"2021-06-03T19:35:46Z","user_id":"245590","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1364/PRJ.416437"}],"publication_identifier":{"eissn":["2327-9125"]},"type":"journal_article","oa":"1","project":[{"_id":"72dfeb62-b436-11ed-9513-f39505d26204","name":"CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie"},{"_id":"edf53067-b368-11ed-bde2-9f34a4102af5","name":"TransCareTech - Transformation in Care & Technology"},{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"publication_status":"published","publication":"Photonics Research","issue":"5"}]
