For research use only. Not for use in diagnostic procedures.
This is an Application Brief and does not contain a detailed Experimental section.
To highlight the new tools for manipulation of ion and optical image overlays in Waters High Definition Imaging (HDI) Software version 1.4. This includes tools for alignment and verlay blending modes.
Overlay mass spectrometry images onto histology or other optical and molecular images for multi-modal imaging data comparison.
Mass spectrometry imaging (MSI) is already widely adopted in the field of analytical science and is now receiving significant interest for clinical research applications. As MSI becomes further established within this field, the software used for acquisition and subsequent manipulation of datasets must evolve. To meet the needs of these users, Waters has developed a next generation software solution – High Definition Imaging (HDI), v1.4. The software solution incorporates:
Optical images can be uploaded into HDI v1.4 alongside MSI datasets. This functionality enables the comparison of histological features and molecular distributions observed in ion images, with the two datasets aligned and overlaid.
HDI v1.4 features a new toolbar (Figure 1) for accurate alignment of optical and MSI data, providing the user with full control of the images being overlaid – either simultaneously or individually. This includes the rotation, resizing, and movement of all images with the addition of stretch and compression functions for optical images. Figure 1 also highlights another new feature in the software, whereby the co-registered pixel coordinates are displayed as the cursor moves across the image display. This allows the user to pinpoint the exact position of features of interest and therefore further mine continuum raw data (i.e MS spectra) in-situ.
Clear viewing of the optical image underneath the overlaid mass spectrometry images is readily achieved. The transparency and intensity threshold of overlaid ion images can be individually altered as demonstrated in Figure 2A and 2B. Additionally, a scale bar has been added to the image display window, enabling the display of scientific data for export and publication in scientific and peer-reviewed journals.
Within HDI, layers can be selected individually, or a Red- Green-Blue (RGB) overlay can be generated through the selection of three ions in the mass list (Figure 3). Gradients for each layer can be set on either the same or individual scales, enabling full visualization of differential or co-localized distributions of the ions selected.
It is also possible to overlay composite ion images via the selection of multiple masses and clicking the icon for a single layer, whereby a single color composite layer will be added. This could be highly valuable for overlaying different groups of peptides, known to correspond to particular proteins – essentially generating an overlay of peptide mass fingerprints.
Once an ion image overlay has been created, a variety of different blend modes can be implemented, providing optimum and appropriate visualization for a given experimental objective. This is a useful tool in applications where molecular interactions are of interest – for example, observing the co-localization of different m/z species, or for identifying the prominent ions detected in discreet structures or features of the analyzed samples. Blend modes available include: “Add,” “Min,” “Max,” “Multiply,” “None,” and “Intensity Correlation” – four of which are displayed as applied to an RGB overlay in Figure 4.
The ability to manage multiple ion image layers is now possible with the introduction of a designated overlay feature tab. This vastly improved visualization also makes use of a much wider palette of solid colors (Figure 5). Separate gradients for each of the color overlays are displayed in the image pane for added integrity and true comparison purposes. In every case, a data name and m/z stamp is displayed in the color of the corresponding layer – at the top left of the image pane – for added clarity.
The latest HDI Software enables simultaneous analysis of multiple (MALDI and DESI) imaging datasets and their corresponding optical images, delivering:
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