2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2010
DOI: 10.1109/isbi.2010.5490398
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Gaussian mixtures for intensity modeling of spots in microscopy

Abstract: In confocal microscopy imaging, the target objects are labeled with fluorescent markers in the living specimen, and usually appear as spots in the observed images. Spot detection and analysis is an important task for the biological studies from the observed images. However, while the spots have irregular sizes and positions due to the variant amount of objects on each spot, the quantitative interpretation of the labeled objects is still heavily reliant on manual evaluation. In this paper, a novel shape modelin… Show more

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Cited by 6 publications
(9 citation statements)
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References 10 publications
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“…The details of the signal-processing algorithms used have been described elsewhere (Pan et al, 2010). However, the main steps and logic were as follows.…”
Section: Methodsmentioning
confidence: 99%
“…The details of the signal-processing algorithms used have been described elsewhere (Pan et al, 2010). However, the main steps and logic were as follows.…”
Section: Methodsmentioning
confidence: 99%
“…As described in the previous work [2], a pre-processing is implemented before the modeling operation. In the first step, the raw image is lightly sharpened and denoised with a Wiener filter using a 7 × 7 disk kernel.…”
Section: Pre-processingmentioning
confidence: 99%
“…However, as shown in Fig.2, the background brightness in the fluorescent image is inhomogeneous. In order to identify the spots without the background bias, the second step exploits a modified contrast method [2]. The spots are detected as regions of high contrast in the image.…”
Section: Pre-processingmentioning
confidence: 99%
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