EventsThe 7th International Multidisciplinary Conference on Optofluidics 2017
Published
This submission belongs to the session 17. High-throughput optical imaging and spectroscopy of the event The 7th International Multidisciplinary Conference on Optofluidics 2017
Published date
21 Jul, 2017
Citation
Keren Chen, Diagnosis of fungal infection in rabbit corneas using Raman spectroscopy , in Proceedings of The 7th International Multidisciplinary Conference on Optofluidics 2017, Singapore, 25 July–28 July 2017, MDPI: Basel, Switzerland, doi: 10.3390/optofluidics2017-04538
Share
Email
Facebook
Twitter
LinkedIn

Diagnosis of fungal infection in rabbit corneas using Raman spectroscopy

1. School of Chemical and Biomedical Engineering, Nanyang Technological University
Abstract

Corneal infections are vision threatening diseases caused by microorganisms, usually by bacteria or fungi. Corneal infections often lead to impairment in sight or even blindness without suitable and prompt treatment. Rapid and accurate diagnosis is critical to begin appropriate treatment; however, in about 50% of patients it is impossible to make a diagnosis of the pathogen. The conventional slit lamp examination cannot achieve make definite diagnosis. An ophthalmologist usually needs to take a tiny tissue and stain it to identify the category. In addition, traditional microbiology culturing is required to culture the organism for diagnosis. However, these methods are time consuming, for example fungi often require more than 2 weeks and often produce no results. We report the use of spontaneous Raman spectroscopy in diagnosing corneal infection caused by three prevalent types of fungi, including Candida, Aspergillus, and Fusarium. Raman spectroscopy was conducted first on fungal spores from different species and the spectra showed significant differences. The spectra of rabbit corneas infected by different fungi were then obtained with a larger laser focus. Using multi-variable analysis, infected corneas can be distinguished from healthy corneas rapidly, non-invasively and with high accuracy.

Keywords
Raman spectroscopy
Corneal infection
Fungal infection
ALL-OPTICAL MULTIMODAL LABEL-FREE ANALYSIS FOR HIGH-THROUGHPUT SCREENING OF CELL TYPE AND BEHAVIOUR
Large scale, high-throughput neuro imaging with voxel super-resolved light-sheet microscopy