Taylor J

EVALUATION OF CORRELATIONAL INFORMATION IN DIGITIZED CELL IMAGES

The processing of digitized cell images by computer may yield information not only about a set of cell image properties but also about their mutual dependencies. Observation of the covariance matrix of image properties of cellular material showing a response to chemotherapeutic treatment, ionizing radiation or antigenic challenge or following a developmental trend may permit a quantitative description of small trendal charges The covariance between certain cell image properties may show statistically significant changes before the mean values of the image properties are affected. Methods of reducing the dimensionality of the representation in an efficient manner are described.

Distinguishing normal human blood lymphocytes from lymphocytes in dengue and typhoid fever

SummaryBlood smears of clinical cases of dengue and typhoid fever were obtained from the Philippines and stained by the Feulgen method. Scanning-microscopic densitometry was used to digitize cell images for analysis by principles of pattern recognition.Global features of size and shape, as well as textural features, served to distinguish populations of normal lymphocytes, from lymphocytes of both dengue and typhoid fever.Distinction between dengue and typhoid failed, possibly because in both states of disease a shift in the relative frequency of cells in normally occurring subpopulations had taken place as an expression of a general response of the lymphocytic system or because of a failure to detect differences between the two diseases at the optical resolution of 0.5 μ used.