Open AccessAutomated bacterial identification by angle resolved dark-field imaging
Author(s) -
Benjamin K. Wilson,
Genevieve D. Vigil
Publication year - 2013
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.4.001692
Subject(s) - multispectral image , optics , bacteria , microscope , microscopy , scattering , dark field microscopy , biological system , biology , physics , computer science , artificial intelligence , genetics
We propose and demonstrate a dark-field imaging technique capable of automated identification of individual bacteria. An 87-channel multispectral system capable of angular and spectral resolution was used to measure the scattering spectrum of various bacteria in culture smears. Spectra were compared between various species and between various preparations of the same species. A 15-channel system was then used to prove the viability of bacterial identification with a relatively simple microscope system. A simple classifier was able to identify four of six bacterial species with greater than 90% accuracy in bacteria-by-bacteria testing.