Spatial MSI Technology & Platform Guide: MALDI, DESI, SIMS, LAESI, Ion Mobility & Hybrid Compared

Published On : July 2026

Spatial mass spectrometry imaging technology platforms combine an ionization method with a mass analyzer to convert a tissue section, cell layer, or other sample surface into a pixel-by-pixel molecular map. Every platform performs the same basic job, ionize molecules directly off the sample surface and record their mass and position, but the six major approaches differ sharply in resolution, sample compatibility, and throughput. Those differences drive nearly every platform-selection decision a lab makes, and they sit underneath the broader spatial mass spectrometry imaging market forecast through 2030, which tracks how demand is shifting across these six categories.

Choosing among them is rarely about which platform is objectively best. It is about which platform's resolution, sample-prep burden, and throughput profile fits a specific research question, whether that is mapping drug distribution across an entire organ section or resolving single-cell lipid changes at sub-micron scale.

Every spatial MSI workflow, regardless of platform, follows the same basic logic: a sample is placed on a target surface, molecules are desorbed and ionized at defined coordinates, and the resulting mass spectra are reassembled into a spatial map where each pixel represents a full chemical fingerprint. What varies is how that desorption and ionization step happens, and that single variable is what separates the six platform families covered in this guide. A lab manager evaluating a first spatial MSI purchase, or a researcher deciding whether to build in-house capability versus outsource a study, needs a working understanding of these differences before any vendor conversation is useful.

MALDI-MSI: Principle, Strengths & Applications

Matrix-assisted laser desorption/ionization imaging works by coating a tissue section with a chemical matrix, then firing a pulsed laser across the surface in a defined grid to desorb and ionize molecules at each point. It is the most widely deployed spatial MSI technology, largely because it handles a broad molecular range, from small-molecule drugs to large intact proteins, and because its instrument and reagent ecosystem is the most mature of any platform on this list.

Its practical strength is versatility: the same instrument, with different matrix chemistries, can support lipidomics, drug distribution, and protein imaging studies. Its main limitation is spatial resolution relative to newer techniques; standard MALDI imaging typically resolves features in the tens-of-microns range, which is coarse for single-cell-level questions. Matrix crystal size also introduces some variability that labs must control for through careful sample preparation.

Because MALDI-MSI has been commercially available longer than any other spatial platform, it also benefits from the deepest published literature base and the widest range of validated matrix chemistries for specific molecular classes. This maturity lowers the learning curve for labs adopting spatial imaging for the first time, since published protocols exist for most common tissue types and target molecules. It is also why MALDI remains the default recommendation for labs that need one instrument to cover several different study types rather than optimizing narrowly for a single application.

DESI-MSI: Ambient Ionization Imaging Explained

Desorption electrospray ionization imaging sprays a charged solvent stream across the sample surface under ambient conditions, ionizing molecules without the vacuum and matrix-coating steps MALDI requires. That makes DESI-MSI attractive for labs that need to move quickly from sample to result, and it avoids the matrix-related artifacts that can complicate MALDI data interpretation in the low-mass range.

The trade-off is resolution and sensitivity for very large molecules. DESI performs well for small-molecule and lipid imaging but is generally not the platform of choice for intact protein mapping. Because it requires minimal sample preparation, it has become a preferred option for rapid screening studies and for labs prioritizing turnaround time over the highest possible spatial resolution.

DESI-MSI's ambient operation also means samples can often be re-analyzed or subjected to complementary techniques afterward, since the tissue is not consumed or fundamentally altered by matrix application the way MALDI sample prep can be. This makes it a practical choice for labs running multi-modal studies where the same section needs to support more than one type of downstream analysis, and it explains why DESI adoption has grown fastest among labs running high-volume screening programs rather than single, deep-dive studies.

SIMS-MSI: High-Resolution Surface Imaging

Secondary ion mass spectrometry imaging bombards the sample surface with a focused primary ion beam, ejecting secondary ions that are then mass-analyzed. Its defining advantage is spatial resolution: SIMS-MSI can resolve features at sub-micron, even nanometer, scale, making it the platform of choice when a research question genuinely requires single-cell or sub-cellular spatial detail.

That resolution comes at a cost. SIMS instruments are typically more expensive to acquire and operate, throughput per sample is lower than MALDI or DESI, and the technique is generally better suited to smaller molecules and elemental or lipid imaging than to large intact proteins. Labs adopt SIMS selectively, for the specific studies where resolution is the limiting factor, rather than as a general-purpose imaging platform.

Sample preparation for SIMS-MSI also tends to be more demanding, since surface quality directly affects secondary ion yield and image fidelity. Labs running SIMS studies routinely invest in specialized sectioning and mounting protocols that would be unnecessary for MALDI or DESI work. This preparation burden, combined with instrument cost, is why SIMS remains a complementary rather than primary platform for most spatial MSI programs, reserved for the subset of studies where nothing else delivers the required resolution.

LAESI & Ion Mobility-Enabled MSI

Laser ablation electrospray ionization is another ambient technique, using an infrared laser to ablate sample material that is then ionized by an electrospray plume. Like DESI, it requires little sample preparation and can image tissue in a near-native state, which appeals to labs studying metabolites sensitive to sample handling.

LAESI's infrared laser also allows it to ablate a broader range of sample thicknesses than some competing ambient techniques, giving labs more flexibility in how tissue is mounted and presented. This flexibility has made it a useful option for labs working with irregular or non-standard sample formats where a rigid thin-section requirement would otherwise be limiting, though its adoption remains smaller in scale than MALDI or DESI.

Ion mobility-enabled MSI adds a separation step, sorting ions by their mobility through a gas-filled cell before mass analysis, ahead of any given ionization front end. That extra dimension of separation resolves isobaric species (molecules with nearly identical mass but different structure) that would otherwise appear as a single overlapping peak in a conventional mass spectrum. This capability is why ion mobility-enabled systems are currently the fastest-growing platform category in the market, expanding at an estimated 10.8% CAGR, since lipidomics and metabolomics studies routinely encounter isobaric overlap that standard mass resolution cannot separate on its own.

???? TECHNOLOGY WATCH

•  Ion mobility separation is increasingly offered as an add-on module across multiple ionization front ends rather than a standalone platform, letting labs retrofit existing instruments with isobaric-resolving capability.

Hybrid MSI Platforms: The Convergence Trend

Hybrid platforms combine two or more ionization, separation, or detection technologies into a single instrument, for example, pairing MALDI ionization with ion mobility separation, or integrating optical microscopy directly into the imaging workflow for co-registered structural and molecular data. This convergence trend reflects a broader shift in buyer expectations: research teams increasingly want one instrument that can answer multiple molecular questions rather than maintaining separate systems for each ionization chemistry. Leading manufacturers advancing MALDI and hybrid MSI instrumentation are investing heavily in this convergence, recognizing that platform flexibility has become a genuine competitive differentiator rather than a marketing feature.

How the Spatial MSI Workflow Comes Together

Whichever platform a lab selects, the underlying workflow follows a consistent arc: sample preparation, ionization and acquisition, data processing, molecular annotation, spatial interpretation, and reporting. Platform choice most heavily influences the first two stages, sample preparation requirements and acquisition speed and resolution, while software capability increasingly determines how much value a lab extracts from the later, interpretive stages regardless of which instrument generated the raw data.

This is why platform comparisons that stop at ionization chemistry miss half the picture. Two labs running identical MALDI instruments can produce very different research outcomes depending on the sophistication of their downstream annotation and interpretation software, a dynamic explored further in our coverage of the broader product and service landscape.

Sample preparation quality is another frequently underweighted variable. Even the highest-resolution instrument cannot recover information lost to inconsistent sectioning, matrix application, or tissue mounting, which is why leading labs increasingly treat sample preparation as a specialized skill set worth dedicated staff time rather than a routine technical step. Data processing and molecular annotation, the stages where raw ion intensities are matched to specific molecular identities, have also become significantly more automated in recent years, reducing what was once a labor-intensive manual curation process into a largely software-assisted workflow, though expert oversight remains essential for confirming ambiguous or novel molecular assignments.

Choosing the Right Platform for Your Research

Platform selection should start with the research question, not the instrument catalog. Studies requiring broad molecular coverage across an entire tissue section, drug distribution mapping, for example, tend to favor MALDI's versatility. Studies prioritizing turnaround time over resolution often favor DESI or LAESI. Studies that live or die on sub-micron detail belong on SIMS. And studies wrestling with isobaric overlap in complex lipid or metabolite mixtures increasingly point toward ion mobility-enabled or hybrid systems.

This framing is educational, not a purchase recommendation, since the right platform ultimately depends on sample type, budget, and throughput needs specific to each lab. It is also worth mapping platform capability against the actual research application driving the purchase; our spatial MSI applications in oncology and multi-omics research coverage connects each of these six platforms to the concrete study types where they are most commonly deployed.

Technology Platform Comparison

Platform

Ionization Approach

Resolution Range

Typical Sample Types

Throughput

MALDI-MSI

Matrix-assisted laser desorption

Tens of microns

Tissue sections, small & large molecules

Moderate-high

DESI-MSI

Ambient charged-solvent spray

Tens to hundreds of microns

Tissue sections, small molecules, lipids

High

SIMS-MSI

Focused primary ion beam

Sub-micron to nanometer

Thin sections, cells, elemental/lipid targets

Low-moderate

LAESI

IR laser ablation, electrospray

Tens to hundreds of microns

Near-native tissue, metabolites

Moderate

Ion Mobility-Enabled MSI

Gas-phase mobility separation

Tens of microns (with added mass resolution)

Lipids, metabolites with isobaric overlap

Moderate

Hybrid MSI Platforms

Two or more combined modalities

Varies by configuration

Multi-omics tissue studies

Varies