0563430 20250603143940.420221104235959.9 85146665371 10.1109/ICIP46576.2022.9897635 5 s. E cav_un_epca*0564843978-1-6654-9620-92381-85493211-3215PiscatawayIEEE2022 image reconstruction structured illumination microscopy ADMM optical flow cav_un_auth*0439197 Harmanec Adam UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0242232 Kadlecová Z. CZ cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2022/ZOI/harmanec-0563430.pdf 1MB TN01000024 GA TA ČR CZ cav_un_auth*0376535 GM21-16786M GA ČR CZ cav_un_auth*0440772 SVV260575 GA MŠk CZ cav_un_auth*0439201 Structured illumination microscopy is a widely popular super-resolution technique for live cell imaging capable of surpassing the diffraction limit. Its temporal resolution is limited by the need to capture multiple low-resolution images to reconstruct a single high-resolution image. When observing rapid biological processes, the local movement between frames leads to the formation of reconstruction artifacts, which subsequently impair the data interpretation. We propose to include this type of movement in the definition of the image formation forward problem. The motion can then be estimated from the original data using optical flow, and the optimization problem is solved using the alternating direction method of multipliers. Our approach is tested against other reconstruction techniques on both synthetic and real biological data. cav_un_auth*0438859 IEEE International Conference on Image Processing 2022 /29./ 20221016 20221019 Bordeaux FR JD 10000 10200 10201 2023 3 PO RVO:67985556 https://hdl.handle.net/11104/0336402 cav_un_auth*0327197 Masarykova Univerzita, Brno MU CZ cav_un_auth*0439202 Cambridge Institute for Medical Research GB S 2022 85146665371 SCOPUS PUBMED WOS pdf 1MB cav_un_epca*0564843 IEEE International Conference on Image Processing 2022 : Proceedings 978-1-6654-9620-9 2381-8549 3211 3215 Piscataway IEEE 2022