A system to model, assist and control the human observation of microscopic specimen

Abstract

This paper describes current research on computerized assistance to cytological specimen exploration. The purpose is not to design a new diagnosis expert system, but rather to design a system able to cooperate with the human expert in the execution of specimen exploration task. New man machine assistance models are necessary to this end, which imply not only knowledge-based but also behaviour-based modelling. An information manager is described, allowing access to information supplied by this model. An error monitoring is also presented. Its goal is to control all tasks and activities involved in the cytological specimen exploration.