1. Label-free imaging of human brain tissue at subcellular resolution for potential rapid intra-operative assessment of glioma surgery
- Author
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Ang Li, David W. Nauen, Hyeon Cheol Park, Honghua Guan, Xingde Li, Chetan Bettegowda, Alfredo Quinones-Hinojosa, Wu Yuan, Dawei Li, Kaisorn L. Chaichana, Defu Chen, and Carmen Kut
- Subjects
0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,Pathology ,Optical sectioning ,Medicine (miscellaneous) ,Mice, Nude ,White matter ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Glioma ,Cell Line, Tumor ,medicine ,Animals ,Humans ,two-photon excited fluorescence (TPF) ,Pharmacology, Toxicology and Pharmaceutics (miscellaneous) ,multiphoton microscopy (MPM) ,Frozen section procedure ,Mice, Inbred BALB C ,Intraoperative Care ,multiphoton endomicroscope ,business.industry ,Brain Neoplasms ,Cancer ,Brain ,Human brain ,Neoplasms, Experimental ,medicine.disease ,Autofluorescence ,030104 developmental biology ,medicine.anatomical_structure ,Microscopy, Fluorescence, Multiphoton ,histopathology ,Histopathology ,business ,030217 neurology & neurosurgery ,Research Paper - Abstract
Background: Frozen section and smear preparation are the current standard for intraoperative histopathology during cancer surgery. However, these methods are time-consuming and subject to limited sampling. Multiphoton microscopy (MPM) is a high-resolution non-destructive imaging technique capable of optical sectioning in real time with subcellular resolution. In this report, we systematically investigated the feasibility and translation potential of MPM for rapid histopathological assessment of label- and processing-free surgical specimens. Methods: We employed a customized MPM platform to capture architectural and cytological features of biological tissues based on two-photon excited NADH and FAD autofluorescence and second harmonic generation from collagen. Infiltrating glioma, an aggressive disease that requires subcellular resolution for definitive characterization during surgery, was chosen as an example for this validation study. MPM images were collected from resected brain specimens of 19 patients and correlated with histopathology. Deep learning was introduced to assist with image feature recognition. Results: MPM robustly captures diagnostic features of glioma including increased cellularity, cellular and nuclear pleomorphism, microvascular proliferation, necrosis, and collagen deposition. Preliminary application of deep learning to MPM images achieves high accuracy in distinguishing gray from white matter and cancer from non-cancer. We also demonstrate the ability to obtain such images from intact brain tissue with a multiphoton endomicroscope for intraoperative application. Conclusion: Multiphoton imaging correlates well with histopathology and is a promising tool for characterization of cancer and delineation of infiltration within seconds during brain surgery.
- Published
- 2021