24 October 2016
On behalf of the Bremen Mass Spectrometry Seminar SCiLS invites you to attend this month’s lecture:
Raf Van de Plas (Delft University of Technology / Delft Center for Systems and Control)
Integrating Mass Spectrometry with Other Imaging Technologies: Improving Biological Insight Through Data-driven Multi-modal Image Fusion
Medical studies increasingly employ a multitude of different imaging technologies to answer a specific biological question. A growing number of such multi-modal imaging studies include Imaging Mass Spectrometry (IMS) as one of these modalities. Although different modalities are routinely registered and overlaid to generate a single display, true integration of data across technologies is largely left to human interpretation, resulting in a significant underutilization of the potential of multi-modal measurements. This talk gives an overview of our recent work on the integration or ‘fusion’ of IMS with measurements from other imaging modalities, and demonstrates the potential of data-driven image fusion for IMS through several predictive applications. Example applications include: (i) the ‘sharpening’ of IMS images, using microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) the enrichment of biological signals and the removal of instrumental noise by multi-modal corroboration; and (iii) the prediction of ion distributions in tissue areas that were not measured by IMS. We also highlight more recent work in which, contrary to fusing IMS with microscopy, our data-driven fusion method is used to combine two mass spectrometry-based modalities into a single predicted modality that combines advantages of the source modalities. In this new IMS-IMS fusion setting, MALDI-TOF IMS (high spatial resolution, limited mass resolution) is fused with MALDI-FTICR IMS measurements (lower spatial resolution, higher mass resolution), enabling ion distributions to be predicted with both high spatial as well as high mass resolution. Examples are shown in lipid imaging, where there is both a need to spatially resolve fine tissue structure, as well as a need for high chemical specificity due to nominally isobaric species.
Time and Date: Wednesday, 26 October 2016, 16:00 at the Max Planck Institute for Marine Microbiology (new lecture hall)
There will be a small reception with wine and cheese after the seminar. For more information about the seminar and upcoming speakers, please visit www.bremen-ms-seminar.de/.