In situ tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality.

Chemical Science
Michael WoolmanArash Zarrine-Afsar

Abstract

Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates in situ tissue pathology from point-sampled mass spectrometry data. Spatially encoded pathology classifications are displayed at the site of laser sampling as color-coded pixels in an augmented reality video feed of the surgical field of view. This is enabled by two-way communication between surgical navigation and mass spectrometry data analysis platforms through a custom-built interface. Performance of the system was evaluated using murine models of human cancers sampled in situ in the presence of body fluids with a technical pixel error of 1.0 ± 0.2 mm, suggesting a 84% or 92% (excluding one outlier) cancer type classification rate across different molecular models that distinguish cell-lines of each class of breast, brain, head and neck murine models. Further, through end-point immunohistochemical staining for DNA damage, cell death and neuronal viability, spatially encoded PIRL-MS sampling is shown to produce classifiable mass spectral data from living murine brain tissue, with levels of neuronal damage that are comparable to those induced by a surgi...Continue Reading

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Citations

May 23, 2021·Clinics in Laboratory Medicine·Michael WoolmanArash Zarrine-Afsar
May 10, 2021·Trends in Molecular Medicine·Nina OgrincIsabelle Fournier
Oct 24, 2020·Mass Spectrometry Reviews·Jialing ZhangLivia S Eberlin

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Methods Mentioned

BETA
xenograft
xenografts
surgical resection

Software Mentioned

PIRL
GTxEyes
MS
OpenIGTLink
MasSpec
Abstract Model Builder ( AMX )
AMX
Waters AMX Recognition
AMX Recognition
Waters

Related Concepts