Frommultiplex images to quantitative, spatial insightwith PhenoScout AI.

Revolune helps researchers generate high-quality multiplex immunofluorescence data without the complexity of traditional mIF workflows. With PhenoScout AI by Mindpeak™, available through Revolune, you get there without becoming an image-analysis expert.

Multiplex IF imagePhenoScout AI result
Tap the AI mark to see what PhenoScout AI reads out of a multiplex IF image.Raw multiplex IF → phenotyped, quantified, spatial

From one image to your whole study

PhenoScout AI phenotypes every cell and keeps going: who is there, who sits next to whom, how far each population stays from the tumor — and any readout you want to build on top. The examples below are a single ROI.

2,898cells/mm²
Total cell density, ROI-3
9phenotypes
Immune, epithelial, tumor
0–25µm
Neighborhood radius
11–156µm
Nearest-neighbor range
Cell density
per phenotype, cells/mm²
Cell density per phenotype bar chart, total 2,898.48 cells per square millimetre
Proximity to boundary
mean distance, stroma
Proximity to tumor boundary bar chart for stromal immune phenotypes
Neighborhood frequency
co-occurrence, 2–99%
Neighborhood frequency heatmap of phenotypes within 0 to 25 micrometres
Proximity matrix
mean nearest-neighbor
Proximity matrix of mean nearest-neighbor distances between phenotypes

Less complexity. More biology.

Your mIF workflow shouldn't become complicated at the analysis step.

Multiplex immunofluorescence generates rich information about cells, biomarkers and their spatial relationships — but extracting it can demand specialized image-analysis expertise, algorithm development and time-consuming optimization. Pre-trained models automate the key steps, so you move from images to reproducible quantitative data without building a pipeline from scratch.

Simplicity

No image-analysis expertise required

Upload your images and use pre-trained AI models rather than developing and tuning algorithms yourself.

Quantification

Quantify biomarker expression

Generate quantitative marker information at the cellular and subcellular level.

Phenotyping

Automated cell phenotyping

Identify and classify cells across multiplex tissue images to better characterize complex tissue environments.

Spatial biology

Explore spatial biology

Turn multiplex images into data that reveals cell populations, biomarker patterns and spatial relationships within tissue.

With PhenoScout AI analyze what matters to you.

Simpler staining. Simpler analysis. More time for biology.

From staining to insight

Revolune owns the workflow end to end. PhenoScout AI by Mindpeak sits at the analysis step — the same philosophy of simplicity, extended past the image.

01 — STAIN

Multiplex with Revolune

Use the primary antibodies researchers already know and trust.

02 — IMAGE

Capture mIF data

Generate multiplex tissue images using the compatible imaging workflow.

03 — ANALYZE

Apply PhenoScout AI

Use pre-trained models for segmentation, phenotyping and biomarker quantification.

04 — DISCOVER

Focus on biology

Explore spatial readouts, cell populations and marker patterns.

Powerful AI. Without the image-analysis learning curve.

PhenoScout AI is designed to make advanced mIF analysis accessible to research teams without requiring specialized bioinformatics or image-analysis expertise.

Pre-trained AI models

Start analyzing without training your own models.

Cell & tissue segmentation

Identify tissue regions, cells and subcellular compartments.

Phenotype identification and quantification

Characterize cell populations across complex tissue environments.

GxP ready audit trail

Guarantee full data integrity from raw image to final report.

Spatial readouts

Explore how cells, phenotypes and biomarkers are organized within tissue.

Built for mIF research

Analyze multiplex immunofluorescence images using AI developed specifically for tissue analysis.

Inside PhenoScout AI

Click through the readouts your images turn into.

PhenoScout AI

TMA overview in PhenoScout AI

Whole-slide view of a 7-plex breast cancer TMA — every core, one pass, user ROIs listed alongside. (Automated TMA workflow in development)

PhenoScout AI

vIHC overview in PhenoScout AI

Virtual IHC of CD3 — the familiar DAB brown-and-blue readout, rendered from any mIF channels.

PhenoScout AI

Markers in PhenoScout AI

Low-mag marker expression across the tissue image showing the predominant marker per tile in a heat-map overlay

PhenoScout AI

Tissue region segmentation with tumor outlines in PhenoScout AI

PhenoScout offers a supervised Phenotype designer per assay to setup the outputs you need in an intuitive and fast workflow.

PhenoScout AI

Phenotypes in PhenoScout AI

Review Phenotype overlays on cellular level

PhenoScout AI

Spatial dashboard in PhenoScout AI

Automated Spatial Dashboard for data insights, from Cell counts and density per Marker and phenotype to neighborhood frequency with user defined radius, proximity analysis and distance to tumor border, all ready to export for publication.

PhenoScout AI

Tissue region segmentation with tumor outlines in PhenoScout AI

Tumor and stroma outlined automatically — proximity measured against that boundary.

Revolune launch offer

A free PhenoScout AI trial with every Revolune reagent kit.

Buy any Revolune mIF reagent kit and we set you up with a full PhenoScout AI trial — phenotyping, quantification and spatial readouts on your own images, at no extra cost.

01Request the trial with your order — available with every Revolune reagent kit.
02We will confirm your kit order and send trial access plus a short onboarding.
03Run your own mIF images and keep every exported readout.

One trial per kit purchased, confirmed by the Revolune team. We reply within two working days.

Request received — thank you. We will confirm your kit and send PhenoScout AI trial access within two working days.
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Revolune Illuminate 8-plex reagent kits
PhenoScout AI
by

See it first

Request a demo

Not ready to order? Walk through PhenoScout AI live with Fabian, or send one of your own multiplex images and get the phenotyped, quantified readout back.

Request a demo

Fabian Schneider, Senior Product Manager at Mindpeak
Fabian SchneiderSenior Product Manager

PhenoScout AI is developed by Mindpeak™ and available through Revolune. For Research Use Only. Not for use in diagnostic procedures.

FAQs

Choosing an mIF analysis workflow raises practical questions — inputs, models, deployment and how it fits the lab you already run. Here are the answers we are asked most.

What inputs does PhenoScout accept?

Multiplex immunofluorescence (mIF) and brightfield images, including cyclic stainings of 20+ channels, from all major spatial platforms — RareCyte Orion, Akoya PhenoImager HT, Lunaphore COMET and others. AI analysis currently runs on the PhenoScout mIF model, with a generic brightfield (IHC) model available as an add-on. Support for further modalities is already planned.

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Do I need image-analysis or bioinformatics expertise?

No. PhenoScout is a turn-key, off-the-shelf solution. Pre-trained models run on upload, so there is no pipeline to build, no algorithms to tune and no bioinformatics queue to wait in.

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Which AI models are included?

Two pre-trained mIF models — mIF-membrane for membrane and cytoplasm markers such as HER2, CD8, panCK and CD68, and mIF-nucleus for nuclear markers such as Ki67 and FOXP3 — plus ready-to-use brightfield IHC-membrane and IHC-nucleus models. All are built on the peakFrontier foundation model, and the mIF model is trained on 30+ immune and cancer biomarkers.

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Is it cloud-based? Can it run on-premise?

PhenoScout is cloud-native and browser-based, accessible anywhere, anytime. An on-premise deployment (dockerized, in-network) is available on request for teams that need image and result data to stay inside their own infrastructure.

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How does it integrate with my lab?

PhenoScout integrates with leading imaging hardware, including the ZEISS Axioscan 7 / SlideStream workflow, and with laboratory IT systems (LIMS / IMS) — from launching results in a separate viewer to embedding them directly in third-party IMS viewers.

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Is PhenoScout a clinical diagnostic product?

PhenoScout AI is For Research Use Only — not for use in diagnostic procedures. It is built to GxP-ready standards, with a full audit trail for every image ensuring traceable, reproducible analysis. Revolune is ISO 13485 (QMS) certified, GDPR-compliant and made in Germany, and develops a separate line of CE-IVD clinical products.

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Still have questions?