TECHNIQUES FOR AUTOMATED DIAGNOSIS OF CELL-BORNE ANOMALIES WITH A DIGITAL OPTICAL MICROSCOPE

摘要

Techniques for automatically analyzing a biological sample with a microscope include obtaining a first digital image of a first field of view of the biological sample. Cell data and anomalous data are automatically determined. Cell data indicates an area co-located in the first digital image with a cell set of one or more cells of a particular type. Anomalous data indicates an area co-located in the first digital image with an anomalous set of zero or more particular objects that are anomalous to normal cells of the particular type. The cell data and the anomalous data are automatically combined to determine the particular objects inside the cell set in the first digital image. An analytical result for the biological sample is generated based on the particular objects inside the cell set. These techniques allow the automated classification and quantification of malaria in microscope views of blood smears, among other diseases.