Automatic identification of bacterial types using statistical imaging methods

IEEE Transactions on Medical Imaging
Sigal TrattnerShimon Abboud

Abstract

The objective of the current study is to develop an automatic tool to identify microbiological data types using computer-vision and statistical modeling techniques. Bacteriophage (phage) typing methods are used to identify and extract representative profiles of bacterial types out of species such as the Staphylococcus aureus. Current systems rely on the subjective reading of profiles by a human expert. This process is time-consuming and prone to errors, especially as technology is enabling the increase in the number of phages used for typing. The statistical methodology presented in this work, provides for an automated, objective and robust analysis of visual data, along with the ability to cope with increasing data volumes.

References

Jan 1, 1996·Medical Decision Making : an International Journal of the Society for Medical Decision Making·J Baron
Apr 25, 2003·Methods in Molecular Biology·Gordon K SmythTerry Speed
May 1, 1956·Journal of Clinical Pathology·E S ANDERSON, R E WILLIAMS
Oct 1, 1997·Journal of Biomedical Optics·Y ChenM L Bittner

❮ Previous
Next ❯

Citations

Aug 17, 2006·Journal of Microscopy·M G ForeroM Desco
Sep 15, 2017·PloS One·Bartosz ZielińskiDorota Ochońska
Feb 6, 2017·BMC Bioinformatics·Elham Yousef KalafiSarinder Kaur Dhillon

❮ Previous
Next ❯

Related Concepts

Related Feeds

Bacteriophage: Phage Therapy

Phage therapy uses bacterial viruses (bacteriophages) to treat bacterial infections and is widely being recognized as an alternative to antibiotics. Here is the latest research.