2016
Virtual cell imaging: A review on simulation methods employed in image cytometry
ULMAN, Vladimír, David SVOBODA, Matti NYKTER, Michal KOZUBEK, Pekka RUUSUVUORI et. al.Základní údaje
Originální název
Virtual cell imaging: A review on simulation methods employed in image cytometry
Autoři
ULMAN, Vladimír (203 Česká republika, domácí), David SVOBODA (203 Česká republika, domácí), Matti NYKTER (246 Finsko), Michal KOZUBEK (203 Česká republika, garant, domácí) a Pekka RUUSUVUORI (246 Finsko)
Vydání
Cytometry Part A, John Wiley & Sons, 2016, 1552-4922
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10200 1.2 Computer and information sciences
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.222
Kód RIV
RIV/00216224:14330/16:00088328
Organizační jednotka
Fakulta informatiky
UT WoS
000392724500004
Klíčová slova anglicky
cell imaging; virtual imaging; simulation; digital cell; cell model; digital phantom; ground truth; validation; image cytometry
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 11. 10. 2021 12:57, prof. RNDr. Michal Kozubek, Ph.D.
Anotace
V originále
The simulations of cells and microscope images thereof have been used to facilitate the development, selection, and validation of image analysis algorithms employed in cytometry as well as for modeling and understanding cell structure and dynamics beyond what is visible in the eyepiece. The simulation approaches vary from simple parametric models of specific cell components—especially shapes of cells and cell nuclei—to learning-based synthesis and multi-stage simulation models for complex scenes that simultaneously visualize multiple object types and incorporate various properties of the imaged objects and laws of image formation. This review covers advances in artificial digital cell generation at scales ranging from particles up to tissue synthesis and microscope image simulation methods, provides examples of the use of simulated images for various purposes ranging from subcellular object detection to cell tracking, and discusses how such simulators have been validated. Finally, the future possibilities and limitations of simulation-based validation are considered.
Návaznosti
GBP302/12/G157, projekt VaV |
|