{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/structured-illumination-microscopy-image","title":"Structured illumination microscopy image reconstruction algorithm","arxiv_id":"1602.06904","date":"2016-02-19","proceeding":null,"authors":["Amit Lal","Chunyan Shan","Peng Xi"],"abstract":"Structured illumination microscopy (SIM) is a very important super-resolution\nmicroscopy technique, which provides high speed super-resolution with about\ntwo-fold spatial resolution enhancement. Several attempts aimed at improving\nthe performance of SIM reconstruction algorithm have been reported. However,\nmost of these highlight only one specific aspect of the SIM reconstruction --\nsuch as the determination of the illumination pattern phase shift accurately --\nwhereas other key elements -- such as determination of modulation factor,\nestimation of object power spectrum, Wiener filtering frequency components with\ninclusion of object power spectrum information, translocating and the merging\nof the overlapping frequency components -- are usually glossed over\nsuperficially. In addition, most of the work reported lie scattered throughout\nthe literature and a comprehensive review of the theoretical background is\nfound lacking. The purpose of the present work is two-fold: 1) to collect the\nessential theoretical details of SIM algorithm at one place, thereby making\nthem readily accessible to readers for the first time; and 2) to provide an\nopen source SIM reconstruction code (named OpenSIM), which enables users to\ninteractively vary the code parameters and study it's effect on reconstructed\nSIM image.","url_abs":"http://arxiv.org/abs/1602.06904v1","url_pdf":"http://arxiv.org/pdf/1602.06904v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"structured-illumination-microscopy-image","repo_url":"https://github.com/iandobbie/CUDA_SIMrecon","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-reconstruction","task_name":"Image Reconstruction"},{"task_slug":"super-resolution","task_name":"Super-Resolution"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}