Three dimensional spot detection by multiscale analysis

G. Cuartero; V. Meas-Yedid; V. Galy; U. Nehrbass; J. C. Olivo-Marin

Three dimensional spot detection by multiscale analysis

G. Cuartero^*, V. Meas-Yedid, V. Galy, U. Nehrbass, J. C. Olivo-Marin

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

Abstract

We present a method to detect and count spots in three dimensional fluorescence images coming from biological immunomicroscopy experiments. It is based on the multiscale product of subband images resulting from a undecimated three dimensional wavelet transform decomposition of the original 3D image, after thresholding of non-significant coefficients. The multiscale product of the filtered wavelet coefficients, which allows to enhance multiscale peaks due to spots while reducing noise, combines information coming from different levels of resolution and gives a clear and distinctive characterization of the spots. The effectiveness of the method is illustrated on microscopy images of yeast cells.

Original language	English
Pages	317-320
Number of pages	4
Publication status	Published - 2001
Externally published	Yes
Event	IEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece Duration: 7 Oct 2001 → 10 Oct 2001

Conference

Conference	IEEE International Conference on Image Processing (ICIP) 2001
Country/Territory	Greece
City	Thessaloniki
Period	7/10/01 → 10/10/01

Cite this

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title = "Three dimensional spot detection by multiscale analysis",

abstract = "We present a method to detect and count spots in three dimensional fluorescence images coming from biological immunomicroscopy experiments. It is based on the multiscale product of subband images resulting from a undecimated three dimensional wavelet transform decomposition of the original 3D image, after thresholding of non-significant coefficients. The multiscale product of the filtered wavelet coefficients, which allows to enhance multiscale peaks due to spots while reducing noise, combines information coming from different levels of resolution and gives a clear and distinctive characterization of the spots. The effectiveness of the method is illustrated on microscopy images of yeast cells.",

author = "G. Cuartero and V. Meas-Yedid and V. Galy and U. Nehrbass and Olivo-Marin, {J. C.}",

year = "2001",

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note = "IEEE International Conference on Image Processing (ICIP) 2001 ; Conference date: 07-10-2001 Through 10-10-2001",

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TY - CONF

T1 - Three dimensional spot detection by multiscale analysis

AU - Cuartero, G.

AU - Meas-Yedid, V.

AU - Galy, V.

AU - Nehrbass, U.

AU - Olivo-Marin, J. C.

PY - 2001

Y1 - 2001

N2 - We present a method to detect and count spots in three dimensional fluorescence images coming from biological immunomicroscopy experiments. It is based on the multiscale product of subband images resulting from a undecimated three dimensional wavelet transform decomposition of the original 3D image, after thresholding of non-significant coefficients. The multiscale product of the filtered wavelet coefficients, which allows to enhance multiscale peaks due to spots while reducing noise, combines information coming from different levels of resolution and gives a clear and distinctive characterization of the spots. The effectiveness of the method is illustrated on microscopy images of yeast cells.

AB - We present a method to detect and count spots in three dimensional fluorescence images coming from biological immunomicroscopy experiments. It is based on the multiscale product of subband images resulting from a undecimated three dimensional wavelet transform decomposition of the original 3D image, after thresholding of non-significant coefficients. The multiscale product of the filtered wavelet coefficients, which allows to enhance multiscale peaks due to spots while reducing noise, combines information coming from different levels of resolution and gives a clear and distinctive characterization of the spots. The effectiveness of the method is illustrated on microscopy images of yeast cells.

UR - http://www.scopus.com/inward/record.url?scp=0035167060&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0035167060

SP - 317

EP - 320

T2 - IEEE International Conference on Image Processing (ICIP) 2001

Y2 - 7 October 2001 through 10 October 2001

ER -

Three dimensional spot detection by multiscale analysis

Abstract

Conference

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