Method for detecting infectious agents using computer controlled automated image analysis

Abstract

Computer controlled methods, systems and apparatus for detecting an infectious agent in a host cell, an animal cell, or plant cell, a body fluid or tissue sample to provide information useful to diagnose a disease or prognosticate disease susceptibility, extent or outcome are provided. In one illustrative embodiment, the infected animal cell is a Chlamydia infected mononuclear phagocyte in a blood sample. In another illustrative embodiment, the infected body fluid is a blood sample infected with “fee floating”Chlamydia. Detection and preferably, quantification of such an infected mononuclear phagocyte(s) or blood sample provides information useful in diagnosing or prognosticating susceptibility, extent or outcome of patients suspected of suffering from vascular, coronary or central nervous disease(s) or disorder(s).

Description

[0001] This application claims priority benefits of U.S. Patent Application No. 60 / 295,587 filed Jun. 4, 2001, the entire disclosure of which is incorporated herein by reference.1. FIELD OF THE INVENTION [0002] The present invention relates to computer controlled methods and apparatus for detecting or detecting and quantifying an infectious agent in a biological sample. The identifying and / or quantitative data obtained are useful in making a diagnosis or prognosis of diseases, including diseases classically deemed “non-infectious.” In one aspect, the invention relates to computer controlled methods and systems for identifying an infected host, animal or plant cell in a field of cells and thereby providing information useful in making a disease diagnosis or a prognosis of disease susceptibility based on identification of an infected animal cell. In another aspect, the invention relates to computer controlled methods and systems for quantification of infected host, e.g., animal or pla...

AI Technical Summary

Benefits of technology

[0016] In an embodiment, the image data is transformed from one color space, e.g., an RGB (Red Green Blue) image into another color space, e.g., HLS (Hue Luminescence Saturation) image. Filters and / or masks are utilized to distinguish those cells that meet pre-selected criteria, i.e. contain a detectable signal, and eliminate those that do not, and thus identify infected animal cells.

Problems solved by technology

Many systemic and local factors may cause dysfunctional endothelium and lead to or trigger an inflammatory response in the vessel wall.

Studies have shown Herpes viruses, such as Herpes simplex virus and Cytomegalovirus (“CMV”), can increase the risk of developing heart disease.

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