Inorder toperformfurther reduction onthenumber ofrejected images bythecascade ofthepattern matching analysis andtheblob analysis forthecorrect detection oftheMicroNucleuses into human lymphocytes, theWiener's deconvolution isproposed Thehecay computation burden compared withtheprevious procedure based on spatial filters suggests tousetheWiener 'sdeconvolution toprocess the rejected images, only, andnotalltheacquired images fromtheImage FlowCytometer. According tothis consideration andtospeed upthe complete pre-processing procedure, theimplementation ofthecorrection procedure isbased onacomputing distributed service implemented by using theLabVIEWShared Variables (SV). Experimental tests confirm the fitness ofthecorrection method andtheadvantages ofthecomputing distributed service asregarding both thespeed upandtheuniformity of theanalysis time.

The image correction based on the Wiener’s deconvolution is proposed by evaluating the Point-Spread Function (PSF) for motion blur alteration. This correction is experimented to reduce the number of rejected images by the pre-processing procedure pointed out to correct detection of the Micro Nucleuses into human lymphocyte images acquired from the Image Flow Cytometer. The proposed correction operates in conjunction with (i) the spatial filters, pointed out to correct the bad exposure, the Gaussian out of focus and the Gaussian noise, and (ii) the Wiener’s deconvolution with PSF particularized for Gaussian out of focus alteration with high intensity. The heavy computation burden of correction based on each one Wiener’s deconvolution compared with that based on spatial filters suggests to use each one of the Wiener’s deconvolution to process the rejected images from the spatial filters, only, and not all acquired images. According to this consideration and to speed up the complete pre-processing correction procedure, the implementation is based on the computing distributed service implemented by using the LabVIEW Shared Variables. The criteria to establish the number of PCs to be used is experimental evaluated.

In order to perform further reduction on the number of rejected images by the cascade of the pattern matching analysis and the blob analysis for the correct detection of the Micro Nucleuses into human lymphocytes, the Wener's deconvolution is proposed. The heavy computation burden compared with the previous procedure based on spatial filters suggests to use the Wener's deconvolution to process the rejected images, only, and not all the acquired images from the Image Flow Cytometer. According to this consideration and to speed up the complete pre-processing procedure, the implementation of the correction procedure is based on a computing distributed service implemented by using theLabVIEWShared Variables (SV). Experimental tests confirm the fitness of the correction method and the advantages of the computing distributed service as regarding both the speed up and the uniformity of the analysis time.