Three dimensional spot detection by multiscale analysis
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 the multiscale peaks due to spots to be enhanced 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.