Name
Abstract | ||
|---|---|---|
Simulating synthetic image data is crucial for the design and validation of bio-imaging pipelines. Most of the existing frameworks assume objects in pixel space, whereas most of the spatio-temporal models of biological processes are formulated in object space. We show that the key to a physically-principled synthetic image data simulation engine is to model carefully the mapping between objects and pixels. We present a sound mathematical and computational framework for our simulation engine: the virtual microscope. A careful measure-theoretic formulation of the object-pixel mapping allows us to handle the simulation of image data arising from complex spatio-temporal dynamics. Computationally, we show that we can generally approximate the object-pixel mapping by a linear combination of shifted/scaled point spread functions that can be evaluated efficiently. We demonstrate the ability of our framework to handle real-world, complex spatio-temporal dynamics. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISBI.2015.7163971 | IEEE International Symposium on Biomedical Imaging |
Keywords | Field | DocType |
biomedical optical imaging,data acquisition,integral equations,optical microscopy,bioimaging pipeline design,bioimaging pipeline validation,biological processes,complex spatiotemporal dynamic model,computational framework,image space,measure-theoretic formulation,object space,object-pixel mapping,pixel space,scaled point spread function,shifted point spread function,sound mathematical framework,synthetic image data simulation,virtual microscope,Quantitative microscopy,image-based systems biology,model-based image processing | Computer vision,Linear combination,Data modeling,Virtual microscope,Computer science,Temporal models,Data simulation,Pixel,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.35 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denis K. Samuylov | 1 | 1 | 0.69 |
| Lukas Widmer | 2 | 7 | 0.82 |
| Gábor Székely | 3 | 1697 | 193.47 |
| Grégory Paul | 4 | 48 | 3.84 |