{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:08:47Z","timestamp":1750219727893,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T00:00:00Z","timestamp":1668038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,10]]},"DOI":"10.1145\/3576938.3576941","type":"proceedings-article","created":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T09:20:36Z","timestamp":1678872036000},"page":"13-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Neural Rendering of Confocal Microscopy Images"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2358-8180","authenticated-orcid":false,"given":"Daniel","family":"Li","sequence":"first","affiliation":[{"name":"Department of Electrical & Computer Engineering, University of Toronto, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Eikonal Fields for Refractive Novel-View Synthesis. In ACM SIGGRAPH 2022 Conference Proceedings. 1\u20139.","author":"Bemana Mojtaba","year":"2022","unstructured":"Mojtaba Bemana, Karol Myszkowski, Jeppe Revall\u00a0Frisvad, Hans-Peter Seidel, and Tobias Ritschel. 2022. Eikonal Fields for Refractive Novel-View Synthesis. In ACM SIGGRAPH 2022 Conference Proceedings. 1\u20139."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/0471142956.cy1219s52"},{"key":"e_1_3_2_1_3_1","volume-title":"A practical guide to deconvolution of fluorescence microscope imagery. Microscopy today 18, 1","author":"Biggs SC","year":"2010","unstructured":"David\u00a0SC Biggs. 2010. A practical guide to deconvolution of fluorescence microscope imagery. Microscopy today 18, 1 (2010), 10\u201314."},{"key":"e_1_3_2_1_4_1","unstructured":"Yu\u00a0A Bunyak O\u00a0Yu Sofina and RN Kvetnyy. 2012. Blind PSF estimation and methods of deconvolution optimization. arXiv preprint arXiv:1206.3594(2012)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/jmi.13002"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2284873"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(01)76214-5"},{"volume-title":"Computational Imaging V, Vol.\u00a06498","author":"Degerman Johan","key":"e_1_3_2_1_8_1","unstructured":"Johan Degerman, Emanuel Winterfors, Jonas Faijerson, and Tomas Gustavsson. 2007. A computational 3D model for reconstruction of neural stem cells in bright-field time-lapse microscopy. In Computational Imaging V, Vol.\u00a06498. SPIE, 432\u2013441."},{"key":"e_1_3_2_1_9_1","volume-title":"Richardson\u2013Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution. Microscopy research and technique 69, 4","author":"Dey Nicolas","year":"2006","unstructured":"Nicolas Dey, Laure Blanc-Feraud, Christophe Zimmer, Pascal Roux, Zvi Kam, Jean-Christophe Olivo-Marin, and Josiane Zerubia. 2006. Richardson\u2013Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution. Microscopy research and technique 69, 4 (2006), 260\u2013266."},{"key":"e_1_3_2_1_10_1","volume-title":"Confocal microscopy: principles and modern practices. Current protocols in Cytometry 92, 1","author":"Elliott D","year":"2020","unstructured":"Amicia\u00a0D Elliott. 2020. Confocal microscopy: principles and modern practices. Current protocols in Cytometry 92, 1 (2020), e68."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00491"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncy.22195"},{"key":"e_1_3_2_1_13_1","unstructured":"Kunal Gupta Brendan Colvert and Francisco Contijoch. 2022. Neural Computed Tomography. arXiv preprint arXiv:2201.06574(2022)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00604"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2003.816924"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1431927617012624"},{"key":"e_1_3_2_1_17_1","volume-title":"Fluorescence microscopy. Nature methods 2, 12","author":"Lichtman W","year":"2005","unstructured":"Jeff\u00a0W Lichtman and Jos\u00e9-Angel Conchello. 2005. Fluorescence microscopy. Nature methods 2, 12 (2005), 910\u2013919."},{"key":"e_1_3_2_1_18_1","first-page":"11453","article-title":"Sdf-srn: Learning signed distance 3d object reconstruction from static images","volume":"33","author":"Lin Chen-Hsuan","year":"2020","unstructured":"Chen-Hsuan Lin, Chaoyang Wang, and Simon Lucey. 2020. Sdf-srn: Learning signed distance 3d object reconstruction from static images. Advances in Neural Information Processing Systems 33 (2020), 11453\u201311464.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_19_1","volume-title":"Harnessing non-destructive 3D pathology. Nature biomedical engineering 5, 3","author":"Liu TC","year":"2021","unstructured":"Jonathan\u00a0TC Liu, Adam\u00a0K Glaser, Kaustav Bera, Lawrence\u00a0D True, Nicholas\u00a0P Reder, Kevin\u00a0W Eliceiri, and Anant Madabhushi. 2021. Harnessing non-destructive 3D pathology. Nature biomedical engineering 5, 3 (2021), 203\u2013218."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00356"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_12"},{"volume-title":"Biomedical Optics","author":"Sierra Heidy","key":"e_1_3_2_1_26_1","unstructured":"Heidy Sierra, Charles\u00a0A DiMarzio, and Dana Brooks. 2008. Modeling dic microscope images of thick objects using a product-of-convolutions approach. In Biomedical Optics. Optical Society of America, BMD67."},{"key":"e_1_3_2_1_27_1","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume":"33","author":"Sitzmann Vincent","year":"2020","unstructured":"Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein. 2020. Implicit neural representations with periodic activation functions. Advances in Neural Information Processing Systems 33 (2020), 7462\u20137473.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_28_1","volume-title":"Advances in Neural Information Processing Systems, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Vol.\u00a032. Curran Associates","author":"Sitzmann Vincent","year":"2019","unstructured":"Vincent Sitzmann, Michael Zollhoefer, and Gordon Wetzstein. 2019. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In Advances in Neural Information Processing Systems, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Vol.\u00a032. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/b5dc4e5d9b495d0196f61d45b26ef33e-Paper.pdf"},{"key":"e_1_3_2_1_29_1","volume-title":"Compositional pattern producing networks: A novel abstraction of development. Genetic programming and evolvable machines 8, 2","author":"Stanley O","year":"2007","unstructured":"Kenneth\u00a0O Stanley. 2007. Compositional pattern producing networks: A novel abstraction of development. Genetic programming and evolvable machines 8, 2 (2007), 131\u2013162."},{"key":"e_1_3_2_1_30_1","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume":"33","author":"Tancik Matthew","year":"2020","unstructured":"Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, and Ren Ng. 2020. Fourier features let networks learn high frequency functions in low dimensional domains. Advances in Neural Information Processing Systems 33 (2020), 7537\u20137547.","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"Computer Graphics Forum, Vol.\u00a039","author":"Tewari Ayush","key":"e_1_3_2_1_31_1","unstructured":"Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nie\u00dfner, 2020. State of the art on neural rendering. In Computer Graphics Forum, Vol.\u00a039. Wiley Online Library, 701\u2013727."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.15.007381"},{"key":"e_1_3_2_1_33_1","unstructured":"Yinhuai Wang Shuzhou Yang Yujie Hu and Jian Zhang. 2022. NeRFocus: Neural Radiance Field for 3D Synthetic Defocus. arXiv preprint arXiv:2203.05189(2022)."},{"volume-title":"Microscope image processing","author":"Wu Qiang","key":"e_1_3_2_1_34_1","unstructured":"Qiang Wu, Fatima Merchant, and Kenneth Castleman. 2010. Microscope image processing. Elsevier."},{"key":"e_1_3_2_1_35_1","first-page":"2492","article-title":"Multiview neural surface reconstruction by disentangling geometry and appearance","volume":"33","author":"Yariv Lior","year":"2020","unstructured":"Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman. 2020. Multiview neural surface reconstruction by disentangling geometry and appearance. Advances in Neural Information Processing Systems 33 (2020), 2492\u20132502.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"e_1_3_2_1_37_1","unstructured":"Ellen\u00a0D Zhong Tristan Bepler Joseph\u00a0H Davis and Bonnie Berger. 2019. Reconstructing continuous distributions of 3D protein structure from cryo-EM images. arXiv preprint arXiv:1909.05215(2019)."}],"event":{"name":"DMIP 2022: 2022 5th International Conference on Digital Medicine and Image Processing","acronym":"DMIP 2022","location":"Kyoto Japan"},"container-title":["Proceedings of the 2022 5th International Conference on Digital Medicine and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576938.3576941","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3576938.3576941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:24Z","timestamp":1750178184000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576938.3576941"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,10]]},"references-count":37,"alternative-id":["10.1145\/3576938.3576941","10.1145\/3576938"],"URL":"https:\/\/doi.org\/10.1145\/3576938.3576941","relation":{},"subject":[],"published":{"date-parts":[[2022,11,10]]},"assertion":[{"value":"2023-03-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}