Automated Analysis of White Blood Cells

A new automated image analysis system locates and pre-classifies the various types of white blood cells.

The analysis is performed by an artificial neural network, trained on a large database of cells. The pre-classified cells are clearly presented on screen for easy verification. This system, called CellaVision DM8, is a semi-automated version of the company's CellaVision DM96.

The system is directed at medium-sized laboratories with its semi-automated slide handling of up to eight slides at a time. It can share databases with other CellaVision DM products installed at the same or remote locations, allowing remote access to results and images via a local area network (LAN). The system is the product of CellaVision (Lund, Sweden). The CellaVision DM8 was launched in Europe at the Laboratory Automation conference in Amsterdam in March 2005.

CellaVision's DiffMaster locates, identifies, and pre-classifies blood cells by means of automatic microscopy and advanced image processing. The microscope is connected to a computer equipped with software based on a large cell database. The software controls the microscope and a camera that finds and photographs images of blood cells, then suggests classifications of the cell types. In most cases, the operator merely confirms the classifications and can focus on borderline classifications.




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