Back to Search Start Over

Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues

Authors :
Emma Bluemke
Howard J. Ginsberg
Arash Zarrine-Afsar
Manuela Ventura
Alex Vitkin
Michael Woolman
Jing Zou
Megan Wu
Adam Gribble
Nicholas Bernards
Sunit Das
Source :
Scientific Reports, Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially targeted MS analysis workflows based on polarized light imaging guidance that use the same tissue sample for survey and targeted analysis. The first workflow is applicable for thin-slice analysis, and uses transmission-polarimetry-guided Desorption ElectroSpray Ionization Mass Spectrometry (DESI-MS), and confirmatory H&E histopathology analysis on the same slice; this is validated using quantitative digital pathology methods. The second workflow explores a polarimetry-guided MS platform for thick tissue assessment by developing reflection-mode polarimetric imaging coupled with a hand-held Picosecond InfraRed Laser (PIRL) MS ablation probe that requires minimal tissue removal to produce detectable signal. Tissue differentiation within 5–10 s of sampling with the hand-held probe is shown using multivariate statistical methods of the MS profiles. Both workflows were tasked with differentiating necrotic cancer sites from viable cancers using a breast tumour model, and their performance was evaluated. The use of the same tissue surface addresses mismatches in guidance due to intrinsic changes in tissue morphology over consecutive sections.

Details

ISSN :
20452322
Volume :
7
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....c533bf34ff1fd4f6115ba9397ab29c36
Full Text :
https://doi.org/10.1038/s41598-017-00272-y