Paper
29 February 2012 Combined FLIM and reflectance confocal microscopy for epithelial imaging
Author Affiliations +
Proceedings Volume 8216, Multimodal Biomedical Imaging VII; 82160A (2012) https://doi.org/10.1117/12.908876
Event: SPIE BiOS, 2012, San Francisco, California, United States
Abstract
Current methods for detection of oral cancer lack the ability to delineate between normal and precancerous tissue with adequate sensitivity and specificity. The usual diagnostic mechanism involves visual inspection and palpation followed by tissue biopsy and histopathology, a process both invasive and time-intensive. A more sensitive and objective screening method can greatly facilitate the overall process of detection of early cancer. To this end, we present a multimodal imaging system with fluorescence lifetime imaging (FLIM) for wide field of view guidance and reflectance confocal microscopy for sub-cellular resolution imaging of epithelial tissue. Moving from a 12 x 12 mm2 field of view with 157 ìm lateral resolution using FLIM to 275 x 200 μm2 with lateral resolution of 2.2 μm using confocal microscopy, hamster cheek pouch model is imaged both in vivo and ex vivo. The results indicate that our dual modality imaging system can identify and distinguish between different tissue features, and, therefore, can potentially serve as a guide in early oral cancer detection..
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joey M. Jabbour, Shuna Cheng, Sebina Shrestha, Bilal Malik, Javier A. Jo, Brian Applegate, and Kristen C. Maitland "Combined FLIM and reflectance confocal microscopy for epithelial imaging", Proc. SPIE 8216, Multimodal Biomedical Imaging VII, 82160A (29 February 2012); https://doi.org/10.1117/12.908876
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Confocal microscopy

Tissues

Reflectivity

Fluorescence lifetime imaging

Cancer

Imaging systems

Image resolution

Back to Top