Title :
Optical processing for least mean-squares analysis of biomedical patterns
Author_Institution :
Dept. of Electrical Engng., Univ. of Houston, Houston, TX, USA
Abstract :
An optical method for the analysis of coherent light scattering patterns from samples of whole blood or urine is being investigated. The purpose of such analysis is the customary one of inferring counts of the numbers of particulates in each of several chosen classes. The linearity of expected light intensity with respect to numbers of scatterers permits their least mean-squares estimation using a generalized matrix inverse. Implementation of this inversion is by means of a mask operating directly on the light patterns to give immediate minimum-variance linear unbiased estimates.
Keywords :
biomedical engineering; blood; least squares approximations; optical information processing; pattern recognition; biomedical patterns; blood; coherent light scattering patterns; generalized matrix inverse; least mean squares analysis; linearity; minimum variance linear unbiased estimates; optical processing; urine; Adaptive optics; Biomedical optical imaging; Diffraction; Microscopy; Optical diffraction; Optical scattering; Blood cell typing and counting; coherent optical; pattern recognition;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1980.6592367
