Field-deployable stomatal phenotyping

Turn leaf images into breeding insights.

High-throughput imaging and AI-powered analysis for stomatal traits, ploidy screening, biostimulant assessment and climate-adaptive breeding.

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The kit and the platform

STOMmini is how you capture. STOM is where the value is.

Two products, one workflow — from leaf to breeding-ready trait table.

STEP 2 STOM · Analysis platform

Every image becomes a structured, exportable trait dataset.

Density, size, aperture, spatial distribution — with native climate data integration (VPD, GDD, rainfall).

Explore STOM

STOM platform dashboard on laptop and mobile

How it works

One species-specific model.
One scalable workflow.

Every new species begins with a rapid feasibility PoC. Once validated, the same traceable workflow carries the project from training images to decision-ready results.

01Client + MIAtecs

Define the PoC

Target traits, tissue type, acquisition conditions and expected outputs.

02STOMmini + client

Acquire a reference dataset

Around one hour to capture a representative exploratory image set.

≈ 1 hour

03Client

Go / No-Go

Review species, genotype and model feasibility before moving forward.

Feasibility confirmed →

2A · Build the species model

04STOMmini + client

Acquire the training dataset

A consistent, representative dataset across the relevant genotypes, organs and conditions.

≈ 3 hours 05MIAtecs

Annotate & train

Build a dedicated model for the species and targeted stomatal pattern.

< 48 hours 06MIAtecs + client

Validate performance

Review detection quality, trait consistency and fitness for the intended study.

Model validated — ready to scale

2B · Deploy at scale

07STOM + Client

Configure

Structure the experimental design, plants, treatments and metadata.

08STOMmini + Client

Capture & upload

Guided acquisition in the field, greenhouse or growth chamber.

09STOM

Quality control

Acquisition guidance, automated checks and dataset-level validation.

10STOM

AI trait extraction

Species-specific detection, measurement and spatial analysis.

11STOM + MIAtecs

Explore, export & report

Interactive comparisons, structured datasets and comprehensive reports for selected projects.

New species? The workflow returns to Phase 1 for a dedicated feasibility assessment and model.

Anywhere your trial is

Greenhouse, field, growth chamber — same protocol, everywhere.

STOMmini and STOM adapt to your trial environment,
with no compromise on measurement quality.

Greenhouse

Controlled multi-genotype trials, tight measurement cycles to track water-stress kinetics.

Field

Portable kit for variety trial campaigns in open field, on-site and at scale.

Growth chamber

Fixed environmental conditions, ideal for isolating genotype effect on stomatal response.

Orchard

Non-destructive leaf imaging on fruit trees — from apple to apricot and peach — without disturbing the canopy.

Species validated across cereals, row crops, perennials & horticulture

Stomata counted in 3-hours on 49 trees

% detection accuracy target on protocol-compliant images

Applications

Three ways breeding and R&D teams put stomatal data to work.

Ploidy screening

Stomatal density and size shift predictably with ploidy level — a fast pre-screen ahead of flow cytometry confirmation.

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Climate-adaptive breeding

High-throughput stomatal phenotyping integrated into variety selection for water-use efficiency and stress tolerance.

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Biostimulant mode of action

Evidence of stomatal mode of action structured to support EU Regulation 2019/1009 registration dossiers.

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Trusted by research and breeding teams across the world

AAFC CanadaCérienceCIRAD IJPBINRAECRRBM Eurofins AAFC CanadaCérienceCIRAD IJPBINRAECRRBM Eurofins

Get in touch

Tell us about your species, your trial, your timeline.

Most engagements start with a paid Phase 1 proof-of-concept — a focused way to test the signal on your own material before committing further.

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Turn leaf images into breeding insights.

STOMmini is how you capture. STOM is where the value is.

A smartphone, a clip-on lens, a calibration slide, and a case.

Every image becomes a structured, exportable trait dataset.

One species-specific model.
One scalable workflow.