Biomedical subjects

C Garbay

Publications and source records attributed to C Garbay.

40 records · Page 3Linked to original sources

PubMed1981

Application of colored image analysis to bone marrow cell recognition.

A color processing procedure bases on the essential features of human perception of colors is presented. It allows the computation of colors in terms of the luminance, the hue and the saturation at every point of an image. Such color processing was used for segmentation and feature extraction of human bone marrow cell images acquired through successive red, green and blue broad-band filters. The efficiency of the luminance, saturation and hue parameters in discriminating cell types is illustrated and discussed.

Bone Marrow Cells↗

PubMed1979

A double scanning microphotometer for image analysis: hardware, software and biomedical applications.

A new image processing system designed for densitometry and pattern analysis of microscopic specimens is described with special regard to the hardware, the software and the biologic applications. The data acquisition procedure involves the combination between the scanning of the preparation by means of a motorized stage and the scanning of successive fields by a mechanical device. The signal provided by the photomultiplier is converted into digital values which are directed to an on-line computer. The data processing is based on a one-pass computation involving automata theory and therefore it avoids the storage of the image in the computer memory. In so doing, an entire and continuous image of the whole preparation can be processed at the highest magnification of the microscope whatever the size of the analyzed specimen may be. A biologic application of the system is reported and concerns the automatic identification and counting of cells in the various phases of the mitotic cycle.

Animals↗

PubMed1979

[SAMBA : a cytophotometer coupled to a computer for the purpose of the automatic study of cell kinetics and the recognition of cell types].

The system SAMBA has been designed for automatic analysis of biological images, at the cellular or subcellular level. The examination is performed at the maximum resolution power of the microscope. It enables to discriminate by means of a pool of morphological and densitometrical parameters, between cells in the different phases of the cell cycle, or between cells belonging to various types in heterogeneous populations. Other recognition programs are at present beeing in progress, in order to promote the use of SAMBA in other fields of fundamental research and clinical application. Owing to the minicomputer now in use, SAMBA is an autonomous system, capable of beeing routinely used in diagnostic centers.

Bone Marrow Cells↗

PubMedDate not supplied

A society of goal-oriented agents for the analysis of living cells.

This paper presents a new model for the segmentation and analysis of living cells. A multi-agent model has been developed for this application. It is based on a generic agent model, which is composed of different behaviors: perception, interaction and reproduction. The agent is further specialized to accomplish a specific goal. Different goals are defined from the different components of the cell images. The specialization specifies the parameters of the behaviors for the achievement of the agent's goal. From these goal-oriented agents, a society is defined, and it evolves dynamically as the agents are created and deleted. An internal manager is integrated in the agent to control the behavior's execution. It makes use of an event-driven scheme to manage the behavior priorities. The present design is mainly oriented toward image segmentation, however, it includes some features on tracking and motion analysis.

Animals↗