In situ tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality-Reference-Cited by-同舟云学术

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

Published:2020 Issue:33 Volume:11 Page:8723-8735
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Woolman Michael¹²³⁴⁵,Qiu Jimmy¹²³⁴,Kuzan-Fischer Claudia M.⁶⁷³⁴⁸,Ferry Isabelle⁶⁷³⁴⁸,Dara Delaram¹²³⁴,Katz Lauren¹²³⁴⁵,Daud Fowad¹²³⁴⁵,Wu Megan⁶⁷³⁴,Ventura Manuela¹²³⁴,Bernards Nicholas¹²³⁴,Chan Harley¹²³⁴,Fricke Inga¹²³⁴^ORCID,Zaidi Mark¹²³⁴,Wouters Brad G.¹²³⁴⁵,Rutka James T.⁶⁷³⁴⁹,Das Sunit⁶⁷³⁴⁹,Irish Jonathan¹²³⁴,Weersink Robert¹²³⁴,Ginsberg Howard J.¹²³⁴⁹,Jaffray David A.¹²³⁴⁵,Zarrine-Afsar Arash¹²³⁴⁵^ORCID

Affiliation:

1. Techna Institute for the Advancement of Technology for Health

2. University Health Network

3. Toronto

4. Canada

5. Department of Medical Biophysics

6. Peter Gilgan Centre for Research and Learning

7. Hospital for Sick Children

8. Arthur and Sonia Labatt Brain Tumor Research Centre

9. Department of Surgery

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.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/SC/D0SC02241A

Reference47 articles.

1. Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system

2. Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry

3. Picosecond Infrared Laser Desorption Mass Spectrometry Identifies Medulloblastoma Subgroups on Intrasurgical Timescales