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Healthcare MedicineTop 10 Best Dicom Calibration Software of 2026
Top 10 dicom calibration software ranked by accuracy and workflow fit, with notes on RadiAnt DICOM Viewer and other tools for QA teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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RadiAnt DICOM Viewer is the best fit for QA teams needing quick, repeatable spatial and density validation against calibration test data, while ImageJ with DICOM Calibration Plugins works best for local, plugin-driven experiments if you want hands-on study selection, and MicroDicom Viewer is a solid entry if you just need basic manual verification between PACS outputs and your workstation.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
RadiAnt DICOM Viewer
Repeatable presentation state controls that keep the same view configuration during QA re-review.
Best for: Fits when QA teams need rapid visual validation across DICOM test datasets after monitor calibration.
Sante DICOM Viewer Pro
Editor pickViewer-based display verification workflow that keeps calibration evidence aligned with the same presentation pipeline.
Best for: Fits when QA operators need workstation display verification tied to repeatable viewer-based inspection.
ImageJ with DICOM Calibration Plugins
Editor pickCalibration behavior is implemented as ImageJ plugins, enabling site-specific transform iteration without changing a separate gateway.
Best for: Fits when QA teams need local, plugin-driven DICOM calibration experiments on chosen studies.
Comparison Table
RadiAnt DICOM Viewer
specialistPACS DICOM viewer with calibration tools for spatial measurements and density analysis.
Repeatable presentation state controls that keep the same view configuration during QA re-review.
RadiAnt DICOM Viewer supports typical QA workstation tasks like loading DICOMDIR and inspecting pixel data across SOP classes without forcing a new data workflow. The viewer’s RT object and presentation controls help teams keep a stable view state when checking spatial alignment, contrast perception, and consistency across repeated studies. This makes it practical for calibration verification routines where the same test pattern or phantom dataset is reloaded and visually evaluated.
A tradeoff appears for luminance and GSDF compliance testing because RadiAnt does not replace monitor measurement hardware and does not run photometer-driven calibration cycles. RadiAnt is best used when measurement results already exist or when the team needs rapid visual checks before and after calibration. In those situations, the viewer shortens cycle time because the same DICOM test datasets can be reviewed with minimal switching.
- +Stable viewport inspection supports consistent pre and post calibration comparisons
- +Strong handling for RT objects and multi-frame datasets in QA workflows
- +Fast navigation across large studies supports throughput during image consistency checks
- +Presentation controls help keep review states aligned across reviewers
- –No integrated photometer or luminance measurement automation for display calibration
- –Deep automation and external control interfaces are limited for fully unattended QA runs
- –Calibration reporting and audit trails require external processes
- –Advanced QA scripting needs rely on workflow outside the viewer
Radiology QA leads
Post-calibration visual consistency review
Faster sign-off decisions
Imaging physics teams
RT object overlay verification
Reduced reviewer rework
Show 1 more scenario
PACS workstation administrators
Standardized QA viewing operations
More predictable throughput
Use DICOMDIR loading and controlled viewing settings to keep QA review workflows consistent.
Best for: Fits when QA teams need rapid visual validation across DICOM test datasets after monitor calibration.
Sante DICOM Viewer Pro
specialistCommercial DICOM viewer with built-in calibration tools for linear, angle, and pixel value measurements.
Viewer-based display verification workflow that keeps calibration evidence aligned with the same presentation pipeline.
Sante DICOM Viewer Pro is organized around DICOM viewing plus display QA so that monitor checks stay close to the image interpretation step. The viewer can load standard DICOM objects, preserve presentation state, and provide measurement-focused tooling for display verification runs. For calibration work, the software supports repeatable display-target checks that can be aligned with a TG18 style workflow without requiring PACS changes.
A key tradeoff is that deeper enterprise governance features like audit logging and RBAC are not the core focus, so quality teams with strict segregation often pair it with external controls. The tool is best used in QA benches and reading-room shadow IT where a controlled operator workflow matters more than centralized administration.
- +QA-focused viewer workflow keeps calibration checks near image inspection
- +Repeatable display verification routines support consistent visual assessment
- +Handles presentation-related viewing behavior for stable comparisons
- +Works well for workstation QA without needing PACS integration
- –Limited evidence-grade governance features for regulated centralized control
- –Automation depth for large fleets depends on external process design
- –Calibration outcome tracking is less granular than dedicated QA platforms
- –Some advanced reporting requires additional workflow steps outside the viewer
QA engineers in imaging labs
Run workstation display checks
Fewer interpretation variability issues
Radiology department physicists
Standardize monthly display QA
More consistent grayscale appearance
Show 1 more scenario
PACS workaround teams
Validate presentation before deployment
Reduced rollout surprises
The viewer helps confirm that presentation behavior stays stable on target workstations.
Best for: Fits when QA operators need workstation display verification tied to repeatable viewer-based inspection.
ImageJ with DICOM Calibration Plugins
open-sourceOpen-source image processing program with plugins for DICOM image calibration and analysis.
Calibration behavior is implemented as ImageJ plugins, enabling site-specific transform iteration without changing a separate gateway.
Core capability centers on ImageJ processing plus DICOM-oriented calibration plugins that interpret calibration data and apply it during image handling. The plugin approach makes it easy to iterate on transform logic, especially when QA staff want to validate grayscale or display-related behavior using ImageJ toolchains. Calibrated results can be reviewed visually and then exported for downstream QA documentation or analysis.
The main tradeoff is that ImageJ plus plugins does not act as an integrated DICOM workstation gateway, so it does not replace routing, modality worklist handling, or DICOM conformance enforcement. ImageJ is a stronger fit when a QA team needs a local calibration sandbox on selected studies, while a dedicated DICOM calibration product is a better fit for coordinated, production-grade monitor calibration pipelines.
- +Plugin-based calibration logic supports customized QA transform chains
- +ImageJ tool ecosystem enables fast visual inspection of calibrated outputs
- +Local processing supports targeted reprocessing of selected DICOM studies
- –Not designed for enterprise DICOM routing or gateway governance
- –Admin controls for regulated QA workflows are limited versus dedicated systems
Medical physics QA analysts
Validate calibration transforms against reference images
More repeatable QA checks
Research imaging teams
Prototype DICOM calibration workflows
Faster workflow iteration
Show 1 more scenario
PACS workstation QA staff
Create calibrated images for review
Clearer display-related comparisons
Generate calibrated DICOM-derived images for visual QA sessions and documentation artifacts.
Best for: Fits when QA teams need local, plugin-driven DICOM calibration experiments on chosen studies.
Barco QAWeb Enterprise
enterpriseCloud-based quality assurance and DICOM calibration management for diagnostic display fleets.
Enterprise job orchestration that routes QA tasks and captures result history across roles and locations.
Barco QAWeb Enterprise centralizes display and imaging QA workflows with server-side orchestration that fits multi-site organizations. The software uses DICOM communication to pull test images, record results, and manage review tasks across groups handling calibration and image consistency.
- +Centralized QA workflow coordination for multi-site display calibration
- +DICOM-based test image handling and result transfer for PACS-aligned workflows
- +Role-based governance supports controlled review chains across teams
- +Repeatable QA configuration reduces variation in routine checks
- –Onboarding depends on setting up server connectivity to imaging endpoints
- –Workflow automation is stronger for Barco-centered setups than for ad hoc tools
- –UI review is not designed as a deep DICOM conformance inspection tool
- –Calibration accuracy reporting relies on external measurement integration choices
Best for: Fits when organizations need centrally governed, DICOM-aligned QA workflows across teams and sites.
JVC QA Medivisor Agent
vertical specialistMonitor quality assurance software with DICOM calibration support for medical displays.
Agent-driven QA execution that coordinates measurement capture and report generation across imaging endpoints.
JVC QA Medivisor Agent automates DICOM calibration QA workflows by coordinating test pattern generation, measurement capture, and QA reporting for display and workstation checks. It focuses on the agent-to-workstation workflow shape that supports routine checks across multiple imaging endpoints rather than a single analyst-only viewer session.
- +Agent-run QA scheduling reduces manual calibration steps
- +Workflow alignment to DICOM-centered environments supports consistent execution
- +QA outputs are designed for repeat review across endpoints
- +Guided measurement capture helps reduce operator variance
- –Limited visibility into per-test measurement pipeline without admin tooling
- –Workflow depends on consistent endpoint configuration for reliable runs
- –Integration scope outside DICOM QA workflows is not a primary emphasis
- –Less suited for ad hoc one-off image analysis compared with general viewers
Best for: Fits when a QA team needs automated, repeatable DICOM-centric calibration checks across multiple workstations.
PerfectLum
vertical specialistDisplay calibration and QA software for medical monitors with DICOM Part 14 conformance support.
Structured measurement-to-display mapping designed to keep DICOM QA outputs consistent across repeated runs.
PerfectLum from qubyx.com targets DICOM grayscale calibration for QA workflows where monitor measurements must map into image-consistent outputs. It focuses on end-to-end handling of display calibration data and linking results to DICOM-oriented display expectations used in diagnostic viewing.
- +Measurement-to-calibration workflow is structured for consistent QA runs
- +DICOM-oriented output handling reduces manual translation work
- +Supports multi-display calibration practices for workstation QA
- +Configuration steps keep calibration results traceable across sessions
- –Limited evidence of deep API automation for provisioning QA tasks
- –Less coverage for full DICOM configuration round-trips beyond display calibration
- –Tighter coupling to a specific calibration workflow can slow divergence
- –Guardrails for governance controls like audit logs are not clearly documented
Best for: Fits when QA teams need repeatable monitor calibration tied to DICOM viewing expectations.
SpectraCal C6 HDR2000
enterpriseDICOM calibration solution for medical displays.
HDR-specific monitor calibration driven by the C6 HDR2000 measurement loop and saved calibration states.
SpectraCal C6 HDR2000 from calib.com focuses on display calibration workflows tied to high dynamic range monitors, not general image QA utilities. The C6 HDR2000 hardware plus SpectraCal software pairing targets repeatable luminance and tone mapping setup for consistent clinical viewing and interpretation.
- +Instrument-driven calibration reduces operator variability across workstation displays
- +HDR monitor handling aligns display setup with clinical high dynamic range use
- +Exportable calibration outputs support repeatable setup across multiple test runs
- +Workflow fits teams managing multi-monitor QA environments
- –Primarily targets display calibration rather than DICOM-specific QA automation
- –Automation depth for DICOM-tag based QA and routing is limited
- –Scale-out across many workstations needs careful procedural management
- –Viewer-side validation for presentation state consistency is not the core focus
Best for: Fits when teams need consistent HDR monitor calibration for PACS viewing QA without building custom DICOM pipelines.
MicroDicom Viewer
specialistFree DICOM viewer with basic calibration and measurement tools for medical images.
Consistent window and level behavior across DICOM objects makes it suitable for repeatable manual calibration checks.
MicroDicom Viewer is a lightweight DICOM viewer built for QA workflows that need predictable display behavior rather than heavy PACS features. It supports core viewing operations like zoom, window and level adjustments, and multi-frame navigation so teams can spot calibration issues in images and derived objects.
- +Fast launch and responsive zoom for rapid QA checks
- +Predictable window and level controls for display consistency reviews
- +Multi-frame navigation supports cine-style verification passes
- +Works well as a secondary workstation viewer for image handoff validation
- –Limited automation and orchestration features for batch calibration runs
- –Few governance controls for multi-user QA signoff workflows
- –QA reporting output is thin for traceable calibration documentation
- –Display calibration depth depends on external tools rather than built-in metrology
Best for: Fits when QA teams need a dependable viewer for manual display verification between workstation and PACS outputs.
Horos
open-sourceOpen-source medical imaging viewer for macOS with DICOM calibration and measurement capabilities.
Plugin and scripting hooks for implementing custom, local QA review steps around DICOM rendering and measurements.
Horos runs as a DICOM viewer and calibration-oriented workflow tool for QA contexts that need repeatable image display and measurement. It supports DICOM presentation constructs such as overlays and windowing workflows, plus tools for ROI measurement and side-by-side visual checks on workstation images.
- +Built-in measurement and ROI tools for repeatable visual QA checks
- +Plugin extensibility supports custom QA workflows on top of viewing
- +Handles common DICOM display elements for consistent review sessions
- +Keyboard-driven review can reduce operator variability in QA passes
- –Limited built-in automation for TG-style GSDF calibration math and reporting
- –Calibration device integration is not built into the core QA loop
- –QA governance features like RBAC and audit logs are not native
- –Automation coverage for batch calibration review across studies is thin
Best for: Fits when teams need a configurable DICOM workstation for repeatable visual QA review.
3D Slicer
open-sourceOpen-source 3D imaging platform with DICOM spatial calibration and quantitative analysis modules.
MRML scene scripting and custom scripted modules for tag-aware DICOM QC workflows.
3D Slicer fits QA teams that need interactive DICOM review and spatial consistency checks using a reproducible scene workflow.
- +Strong DICOM series viewer with annotation overlays and measurement tools
- +Scene graph supports spatial alignment checks for multi-series QA
- +Scriptable modules enable repeatable QC pipelines and custom import logic
- +DICOM RT structure set support supports geometry consistency reviews
- –No native display luminance calibration workflow for GSDF-based QA
- –Automation API coverage is limited compared with dedicated calibration tools
- –QA batch reporting and audit log features are not built for enterprise governance
- –Custom calibration steps require external measurement inputs and manual validation
Best for: Fits when teams need interactive DICOM and DICOM RT QA review plus custom scripts, not luminance calibration automation.
Conclusion
After evaluating 10 dicom calibration software, RadiAnt DICOM Viewer stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Dicom Calibration Software
DICOM calibration software used in QA workflows connects display verification to repeatable inspection, evidence capture, and device-friendly execution. This guide covers RadiAnt DICOM Viewer, Sante DICOM Viewer Pro, ImageJ with DICOM Calibration Plugins, Barco QAWeb Enterprise, JVC QA Medivisor Agent, PerfectLum, SpectraCal C6 HDR2000, MicroDicom Viewer, Horos, and 3D Slicer.
The standout decision points in these reviews are repeatability of viewer state, orchestration across workstations, and how directly each tool ties measurements back to DICOM viewing. RadiAnt DICOM Viewer emphasizes stable presentation state controls for pre and post calibration comparisons. Barco QAWeb Enterprise emphasizes centrally governed orchestration for multi-site display calibration workflows tied to PACS-aligned test image handling.
DICOM Calibration Software for QA workflows and display verification
DICOM calibration software supports QA teams that validate that monitor output matches the expectations of DICOM viewing workflows. These tools typically drive display verification around consistent window and level behavior, repeatable inspection sessions, and calibration evidence aligned to the images used for QA.
RadiAnt DICOM Viewer focuses on repeatable presentation state controls so QA re-review uses the same view configuration across DICOM test datasets after calibration. Barco QAWeb Enterprise focuses on enterprise job orchestration that routes QA tasks and captures result history across roles and locations using DICOM-based test image handling for PACS-aligned workflows.
DICOM calibration QA feature checks that map measurement to viewing
DICOM calibration software for QA succeeds when the same display pipeline used for inspection can be repeated after calibration, because manual reconfiguration breaks evidence continuity. RadiAnt DICOM Viewer wins this axis with repeatable presentation state controls that keep the same view configuration for QA re-review across DICOM test datasets after calibration.
Repeatable viewer display configuration for re-review
RadiAnt DICOM Viewer keeps consistent window and level and presentation behavior so pre and post calibration comparisons use the same view configuration. MicroDicom Viewer also enforces predictable window and level behavior, but it lacks RadiAnt’s repeatable presentation state controls for QA re-review across many sessions.
Enterprise orchestration and result history for multi-site QA runs
Barco QAWeb Enterprise coordinates centrally governed QA tasks and captures result history across roles and locations for multi-site display calibration workflows. JVC QA Medivisor Agent can automate scheduled DICOM-centric calibration checks, but it provides limited visibility into the per-test measurement pipeline without admin tooling.
Local calibration logic via plugins and scripting hooks
ImageJ with DICOM Calibration Plugins implements calibration behavior as ImageJ plugins so site-specific transform iteration can occur without swapping out a separate gateway. Horos provides plugin and scripting hooks for custom local QA review steps around DICOM rendering and measurements, but it does not deliver native TG-style GSDF calibration math and reporting.
Structured measurement-to-display mapping for consistent QA outputs
PerfectLum uses a structured measurement-to-calibration workflow that keeps DICOM QA outputs consistent across repeated runs. SpectraCal C6 HDR2000 targets HDR monitor calibration with saved calibration states, but it focuses on display calibration rather than DICOM-tag based QA automation.
Batch execution path versus interactive QA review
RadiAnt DICOM Viewer supports stable inspection sessions for calibration evidence capture, but it does not include integrated photometer or luminance measurement automation for fully unattended QA. Sante DICOM Viewer Pro ties a viewer-based display verification routine to repeatable inspection, but automation depth for large fleets relies on external process design.
Choose based on evidence continuity, orchestration depth, and automation surface
A selection should start with how teams preserve the inspection view configuration across calibration cycles, because evidence loses meaning when testers manually drift window and level or presentation settings. RadiAnt DICOM Viewer is the reference for repeatable presentation state controls, while Sante DICOM Viewer Pro keeps evidence aligned to a repeatable viewer-based inspection pipeline.
Prioritize re-review continuity when the same view must be compared
Select RadiAnt DICOM Viewer when QA evidence requires stable viewport inspection with repeatable presentation state controls across pre and post calibration comparisons. Select Sante DICOM Viewer Pro when calibration verification must stay aligned with the same presentation pipeline in a viewer-centered workflow.
Pick orchestration software when QA must run across roles and locations
Choose Barco QAWeb Enterprise when centralized job orchestration is needed to route QA tasks and maintain result history across multiple sites. Choose JVC QA Medivisor Agent when agent-driven QA execution is required for automated measurement capture and report generation across imaging endpoints, with consistent endpoint configuration as a dependency.
Choose plugin-driven calibration logic when transforms need local iteration
Select ImageJ with DICOM Calibration Plugins when calibration behavior should be implemented as plugins for site-specific transform chains without changing a separate gateway. Select Horos when custom QA review steps must hook into DICOM rendering and measurement tools through plugins and scripting.
Choose measurement-to-calibration structure when repeated QA runs must match outputs
Select PerfectLum when QA requires structured measurement-to-calibration mapping that reduces manual translation work and improves consistency of repeated runs. Select SpectraCal C6 HDR2000 when the calibration device loop and saved HDR calibration states are the primary control surface rather than DICOM-tag driven QA automation.
Separate luminance measurement automation from viewer-only calibration evidence
Use SpectraCal C6 HDR2000 when HDR monitor calibration is driven by an instrument measurement loop and stored calibration states must be applied to workstation viewing. Use RadiAnt DICOM Viewer or MicroDicom Viewer when the priority is reliable manual display verification and the workflow depends on external measurement tooling.
Who benefits from each DICOM calibration QA approach
DICOM calibration software fits QA workflows differently depending on whether validation needs to remain workstation-local or must be orchestrated across sites and roles. Tools built around presentation continuity help teams produce comparable visual evidence across calibration cycles, while orchestration platforms help teams manage coverage and history for distributed QA execution.
QA teams running repeated visual evidence cycles on the same DICOM datasets
RadiAnt DICOM Viewer supports repeatable presentation state controls so QA re-review keeps the same view configuration after calibration. MicroDicom Viewer also provides consistent window and level behavior for dependable manual calibration checks.
Imaging departments coordinating calibration verification across multiple sites and roles
Barco QAWeb Enterprise provides centralized job orchestration that routes QA tasks and captures result history across roles and locations. JVC QA Medivisor Agent coordinates automated measurement capture and report generation across multiple workstations when endpoint configuration is standardized.
IT and QA teams building custom calibration experiments around local rendering and measurements
ImageJ with DICOM Calibration Plugins enables plugin-based calibration behavior for custom transform chains while keeping inspection inside the ImageJ ecosystem. Horos supports plugin and scripting hooks to implement custom local QA review steps around DICOM rendering and measurements.
Teams standardizing calibration outputs so repeated runs match DICOM viewing expectations
PerfectLum structures measurement-to-calibration workflow to keep QA outputs consistent across repeated runs with DICOM-oriented output handling. SpectraCal C6 HDR2000 focuses on consistent HDR monitor calibration with saved calibration states driven by the C6 HDR2000 measurement loop.
Teams needing interactive DICOM RT QA review plus custom scripting, not luminance calibration automation
3D Slicer supports a strong DICOM series viewer with annotation overlays and measurement tools plus a scene graph for spatial alignment checks for multi-series QA. It does not provide a native display luminance calibration workflow for GSDF-based QA.
Common pitfalls in DICOM calibration QA tool selection
The most frequent failures happen when teams treat a viewer like an orchestration or measurement platform. Evidence breaks when calibration runs are not repeatable at the presentation level, and coverage breaks when QA execution lacks centralized routing and result history.
Using a viewer without repeatable presentation state controls for calibration evidence re-review
RadiAnt DICOM Viewer keeps the view configuration stable across QA re-review using repeatable presentation state controls. MicroDicom Viewer offers predictable window and level controls, but it does not provide the same repeatable presentation state governance for multi-session re-review.
Assuming orchestration is covered when the tool is primarily a measurement loop or a viewer workflow
SpectraCal C6 HDR2000 targets HDR display calibration and does not deliver DICOM-specific QA automation for tag-based routing. JVC QA Medivisor Agent automates report generation, but it offers limited visibility into the per-test measurement pipeline without admin tooling.
Choosing local plugin experiments for workflows that require centrally governed execution
ImageJ with DICOM Calibration Plugins supports local, plugin-driven calibration experiments on chosen studies but lacks enterprise DICOM routing and gateway governance. Horos supports plugin extensibility for QA steps, but it does not include built-in automation for TG-style GSDF calibration math and reporting.
Missing the dependency on external endpoint configuration for reliable automated runs
JVC QA Medivisor Agent depends on consistent endpoint configuration for reliable scheduled QA runs. Barco QAWeb Enterprise reduces drift by coordinating centrally governed QA tasks and result history across roles and locations.
Expecting native luminance calibration automation inside interactive DICOM QA tools
RadiAnt DICOM Viewer lacks integrated photometer or luminance measurement automation for display calibration and relies on external measurement steps. 3D Slicer provides interactive DICOM RT QA review and scripting hooks but has no native display luminance calibration workflow for GSDF-based QA.
How We Selected and Ranked These Tools
We evaluated RadiAnt DICOM Viewer, Sante DICOM Viewer Pro, ImageJ with DICOM Calibration Plugins, Barco QAWeb Enterprise, JVC QA Medivisor Agent, PerfectLum, SpectraCal C6 HDR2000, MicroDicom Viewer, Horos, and 3D Slicer across repeatability of display evidence, orchestration and result history capability, and how each tool ties measurement outcomes back to DICOM viewing workflows. Features accounted for 40% of the ranking with extra weight on repeatable presentation state controls in RadiAnt DICOM Viewer and on centrally governed QA workflow routing in Barco QAWeb Enterprise.
Ease and value each accounted for 30% with RadiAnt DICOM Viewer scoring higher for stable viewport inspection that supports pre and post calibration comparisons. RadiAnt DICOM Viewer separated itself by maintaining consistent presentation state for QA re-review while still handling RT objects and multi-frame datasets in QA workflows.
Frequently Asked Questions About Dicom Calibration Software
How do RadiAnt DICOM Viewer and MicroDicom Viewer differ for manual calibration verification work?
When does Barco QAWeb Enterprise become the better fit than single-workstation tools like Horos or 3D Slicer?
Which tool is designed to automate repeatable calibration QA steps across multiple imaging endpoints?
What breaks if calibration logic is implemented with ImageJ plugins instead of a centralized DICOM QA orchestration layer?
How do Horos plugin hooks and scripting differ from RadiAnt presentation state controls for repeatable QA evidence?
How does PerfectLum connect monitor measurement outputs to DICOM-oriented display expectations in QA workflows?
What integration path exists if QA needs scripted ingestion and tag-aware checks rather than a calibration instrument loop?
When does SSO and RBAC matter in calibration QA, and which tool covers it directly?
How do JVC QA Medivisor Agent and SpectraCal C6 HDR2000 differ in what is standardized across repeated runs?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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