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@article{1360376,
author = {Ulman, Vladimír and Svoboda, David and Nykter, Matti and Kozubek, Michal and Ruusuvuori, Pekka},
article_number = {12},
doi = {http://dx.doi.org/10.1002/cyto.a.23031},
keywords = {cell imaging; virtual imaging; simulation; digital cell; cell model; digital phantom; ground truth; validation; image cytometry},
language = {eng},
issn = {1552-4922},
journal = {Cytometry Part A},
title = {Virtual cell imaging: A review on simulation methods employed in image cytometry},
url = {http://dx.doi.org/10.1002/cyto.a.23031},
volume = {89A},
year = {2016}
}
TY - JOUR
ID - 1360376
AU - Ulman, Vladimír - Svoboda, David - Nykter, Matti - Kozubek, Michal - Ruusuvuori, Pekka
PY - 2016
TI - Virtual cell imaging: A review on simulation methods employed in image cytometry
JF - Cytometry Part A
VL - 89A
IS - 12
SP - 1057-1072
EP - 1057-1072
PB - John Wiley & Sons
SN - 15524922
KW - cell imaging
KW - virtual imaging
KW - simulation
KW - digital cell
KW - cell model
KW - digital phantom
KW - ground truth
KW - validation
KW - image cytometry
UR - http://dx.doi.org/10.1002/cyto.a.23031
L2 - http://dx.doi.org/10.1002/cyto.a.23031
N2 - 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.
ER -
ULMAN, Vladimír, David SVOBODA, Matti NYKTER, Michal KOZUBEK and Pekka RUUSUVUORI. Virtual cell imaging: A review on simulation methods employed in image cytometry. \textit{Cytometry Part A}. John Wiley \&{} Sons, 89A, No~12, p.~1057-1072. ISSN~1552-4922. doi:10.1002/cyto.a.23031. 2016.
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