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Biomedical subjects

J F Brenner

Publications and source records attributed to J F Brenner.

22 records · Page 2Linked to original sources

An automated microscope for cytologic research a preliminary evaluation.

A research-oriented system for automated microscopy is described from an operational point of view. The system consists of a microscope, a TV camera, an automatic cell finder and a servo-driven computer controlled stage. The system is interfaced to a NOVA 840 computer having 112,000 words of 16-bit core memory and extensive peripherals. It is capable of performing a wide variety of image processing tasks and is being used to study various aspects of automated microscopy, with applications in, but not limited to, cytology. Results of preliminary performance evaluations are given.

Autoanalysis↗

A computer model of denervation-reinnervation in skeletal muscle.

A computer model of the process of denervation and complete reinnervation of skeletal muscle has been developed for the purpose of exploring underlying mechanisms and for use in the development of new clinical and research tools for evaluating neuromuscular disease. Progressive motor neuron death and reinnervation in this model reproduces the fiber-type grouping, increased fiber density, and minimal increase of motor unit size seen in human chronic denervating diseases. Studies using the model suggest that (1) preferential involvement of motor units of one type could account for the abnormal fiber-type proportions observed in some diseases, (2) reinnervation by axons innervating adjacent fibers is compatible with single fiber multielectrode study results in that it does not produce a large increase in motor unit area, and (3) such reinnervation is sufficient to account for the increases in motor unit density that have been observed. The model has also been used in the development and testing of the Codispersion Index, a measure of the codistribution of two fiber types, which is useful in detecting fiber-type grouping.

Algorithms↗

The measurement of body fat distribution using somatotype photographs and computer-assisted imaging techniques.

A computer-assisted image analysis technique has been devised which allows the measurement of body fat distribution from archived somatotype photographs. This report describes the technique, which enables useful measurements to be extracted from somatotype photographs which were taken over 50 years ago. This paper describes the process of digitization of photographs, the measurement of body diameters using computer-assisted edge detection, the quantitative analysis of measurement error in this procedure, and validation techniques employed.

Adipose Tissue↗