Abstract

Incomplete tumor removal has been shown to be a powerful predictor of local recurrence across cancers; however, few microscopic techniques are available to evaluate surgical tumor margins intraoperatively. Evidence suggests that imaging of tumor microanatomy, particularly fluorescence microscopy combined with vital fluorescent dyes can provide sufficient contrast for the detection of microscopic residual disease intraoperatively. In this work we present the development of a structured illumination fluorescence microscopy (SIM) system and demonstrate its ability to image tumor margins that have been excised from a transgenic mouse sarcoma model. Additionally, we demonstrate the potential of using appropriate nuclei segmentation and quantification schemes to distinguish between a cohort of positive and negative margins with a sensitivity and specificity of 80% and 75% respectively.

© 2014 Optical Society of America