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Biomedical subjects

M H Stark

Publications and source records attributed to M H Stark.

5 recordsLinked to original sources

Analysis of rare high-DNA cell populations in serous effusions using continuous-motion imaging.

The rare high-DNA cell sub-populations in a series of serous effusion specimens were analysed to determine whether such measurements could provide a basis for the improved diagnosis of malignancy. Monolayer specimens stained with gallocyanin chrome-alum were scanned with the CERVIFIP continuous-motion image analyser to locate and measure the highest-DNA cells in the sample. Two types of features were obtained for the detected sub-populations; firstly, 'percentile ploidy' values which characterise the ploidy levels above which specified proportions of the total cells are found; and secondly 'percentage abnormal' values which characterise the proportion of the cells diagnosed as malignant during examination by a cytopathologist. The classification accuracy for one or both of these features was then obtained by comparison with the clinical outcome of each patient. The results gave a classification error of 9/44 (20%) using the 0.01% percentile ploidy alone, 6/44 (14%) using the 75% percentage abnormal feature alone, but only 2/44 (5%) from a box discriminant using both features. It was therefore concluded that the analysis of the high-DNA cell population could be of value in the diagnosis of malignancy in serous effusion specimens.

Adenocarcinoma

An automated image analysis system for the detection of rare autoradiographically labelled cells in the human lymphocyte HGPRT variant assay.

This paper describes a fast and accurate method for the identification of autoradiographically labelled human hypoxanthine-guanine phosphoribosyl transferase (HGPRT) variant lymphocytes on slide preparations using a high-speed computer image analysis system--the Fast Interval Processor (FIP). The system has been developed primarily for the analysis of cultured human peripheral blood lymphocyte populations in which the frequency of labelled cells may vary from less than one to more than 2,000 in every 10,000 cells. Evaluation experiments have demonstrated the excellent performance of FIP in the counting of labelled and total cells over this frequency range.

Autoradiography

Ellipse test for the reduction of false positive signals in automated cytology.

One of the major problems in automated cytology is the elimination of false positive 'abnormal cell' alarms caused by objects such as overlapping cell pairs, leukocyte clusters, etc. The paper describes an algorithm for the separation of images of abnormal cell nuclei and non=nuclear objects in computer image analysis systems for automated cytology. The algorithm involves the measurement of the agreement between the object outline and a computer ellipse of equal area, aspect ratio and orientation. Results obtained with the CERVISCAN experimental computer image analysis system show that the algorithm gives good discrimination between abnormal cell nuclei and typical non-nuclear objects found in cervical scrape specimens prepared specially for automated analysis.

Cell Nucleus