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 |
|
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 |
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