Automated identification of tubercle bacilli in sputum. A preliminary investigation.

@article{Veropoulos1999AutomatedIO,
  title={Automated identification of tubercle bacilli in sputum. A preliminary investigation.},
  author={Konstantinos Veropoulos and Genevieve Learmonth and Colin F Campbell and Bryan Knight and Jean Simpson},
  journal={Analytical and quantitative cytology and histology},
  year={1999},
  volume={21 4},
  pages={277-82}
}
OBJECTIVE To use an automated method to detect tubercle bacilli in sputum specimens. STUDY DESIGN Using fluorescence microscopy, tubercle bacilli were identified on auramine-stained sputum specimens. Images were then captured with a digital camera and enhanced through imaging processing techniques. The bacilli were recognized using neural network classifiers. RESULTS This preliminary investigation demonstrated a sensitivity of 94.1% for the identification of individual bacilli. As there are… CONTINUE READING