bibtype C - Conference Paper (international conference)
ARLID 0563430
utime 20240111141111.1
mtime 20221104235959.9
SCOPUS 85146665371
DOI 10.1109/ICIP46576.2022.9897635
title (primary) (eng) Novel Reconstruction With Inter-Frame Motion Compensation For Fast Super-Resolution Live Cell Imaging
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0564843
ISBN 978-1-6654-9620-9
ISSN 2381-8549
title IEEE International Conference on Image Processing 2022 : Proceedings
page_num 3211-3215
publisher
place Piscataway
name IEEE
year 2022
keyword image reconstruction
keyword structured illumination microscopy
keyword ADMM
keyword optical flow
author (primary)
ARLID cav_un_auth*0439197
name1 Harmanec
name2 Adam
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0242232
name1 Kadlecová
name2 Z.
country CZ
author
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2022/ZOI/harmanec-0563430.pdf
source_size 1MB
cas_special
project
project_id TN01000024
agency GA TA ČR
country CZ
ARLID cav_un_auth*0376535
project
project_id GM21-16786M
agency GA ČR
country CZ
ARLID cav_un_auth*0440772
project
project_id SVV260575
agency GA MŠk
country CZ
ARLID cav_un_auth*0439201
abstract (eng) 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.
action
ARLID cav_un_auth*0438859
name IEEE International Conference on Image Processing 2022 /29./
dates 20221016
mrcbC20-s 20221019
place Bordeaux
country FR
RIV JD
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2023
num_of_auth 3
presentation_type PO
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0336402
cooperation
ARLID cav_un_auth*0353509
name Masarykova Univerzita, Brno
institution MU
country CZ
cooperation
ARLID cav_un_auth*0439202
name Cambridge Institute for Medical Research
country GB
confidential S
arlyear 2022
mrcbU14 85146665371 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU56 pdf 1MB
mrcbU63 cav_un_epca*0564843 IEEE International Conference on Image Processing 2022 : Proceedings IEEE 2022 Piscataway 3211 3215 978-1-6654-9620-9 2381-8549