Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping

An approach to fuse images from imaging mass spectrometry and microscopy provides biological insights into molecular tissue distributions beyond what can be obtained from either modality individually. We describe a predictive imaging modality created by 'fusing' two distinct technologies:...

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Vydané v:	Nature methods Ročník 12; číslo 4; s. 366 - 372
Hlavní autori:	Van de Plas, Raf, Yang, Junhai, Spraggins, Jeffrey, Caprioli, Richard M
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Nature Publishing Group US 01.04.2015 Nature Publishing Group
Predmet:	631/114/1564 631/114/2401 631/1647/245/2160 631/1647/527/296 82/58 Animals Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Brain - ultrastructure Fusion Genetic research Genetic screening Heterogeneity Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Innovations Life Sciences Light microscopy Mass Spectrometry Methods Mice Microscope and microscopy Microscopy Molecular biology Proteomics Tissues
ISSN:	1548-7091, 1548-7105, 1548-7105
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Shrnutí:	An approach to fuse images from imaging mass spectrometry and microscopy provides biological insights into molecular tissue distributions beyond what can be obtained from either modality individually. We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information. The resulting images combine the advantages of both technologies, enabling prediction of a molecular distribution both at high spatial resolution and with high chemical specificity. Multivariate regression is used to model variables in one technology, using variables from the other technology. We demonstrate the potential of image fusion through several applications: (i) 'sharpening' of IMS images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) prediction of ion distributions in tissue areas that were not measured by IMS; and (iii) enrichment of biological signals and attenuation of instrumental artifacts, revealing insights not easily extracted from either microscopy or IMS individually.
Bibliografia:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	1548-7091 1548-7105 1548-7105
DOI:	10.1038/nmeth.3296