IRISPECTRA · MEASUREMENT RESEARCH

What can an eye image actually measure?

Three programmes examine three different signals: visible iris structure, pupil response over time, and the developmental mechanisms that may produce individual morphology.

THREE INDEPENDENT DATA TYPES · VERSIONED METHODS · NON-DIAGNOSTIC RESEARCH

THREE QUESTIONS · THREE DATA TYPES

One eye. Three different experiments.

A still iris image, a changing pupil, and a developmental simulation do not answer the same question. Keeping them separate is the beginning of scientific honesty.

01 / STRUCTURE

Iris measurement

Quantifies visible geometry: radial texture, annular bands, crypt-like openings, pigment topology, occlusion and image quality.

free measurement →
02 / DYNAMICS

Pupil light response

Measures a 30-second response curve: baseline, constriction amplitude, latency, velocity, recovery, repeatability and signal quality.

measure a response →
03 / DEVELOPMENT

Morphogenesis Lab

Compares chemical, mechanical, vascular and hybrid generative models against real spatial statistics.

open simulator →

COMPUTER VISION · VALIDATION PROTOCOL

From pixels to pattern—without skipping the proof.

Acquisition quality, anatomy segmentation, polar normalisation, collarette tracing, object masks, shape topology, uncertainty and participant-level validation are treated as separate gates.

Open the full vision pipeline →

MEASUREMENT MODEL · EVIDENCE LEDGER

One eye is not one kind of evidence.

Iris surface morphology, pupil dynamics, external-eye photographs and retinal fundus images are different modalities. Irispectra keeps their measurements, datasets and claims separate.

IRIS SURFACE

Visible crypts, furrows, pigmentation, collarette geometry and texture topology.

population morphology study ↗
EXTERNAL EYE

Research models have tested disease-associated signals in photographs of the external eye; this is not an iris organ map.

Nature Biomedical Engineering ↗
RETINAL FUNDUS

Retinal photographs have been used to predict cardiovascular risk factors. A fundus photograph is not an iris photograph.

Nature Biomedical Engineering ↗

PUBLISHED PERFORMANCE · TASK-SPECIFIC

NIST iris boundary localisation99.3%
NISTIR 8516 ↗
Expert crypt agreementκ 0.775
ophthalmic grading study ↗
Expert furrow agreementκ 0.836
ophthalmic grading study ↗
Published crypt-frequency classifier80.0%
Mask R-CNN + SVM study ↗
60′angular coordinates
6radial bands
OD / OSeyes measured independently
4evidence states

Published values describe the cited task and dataset. They are not automatically the performance of Irispectra.

IRIS MORPHOGENESIS LAB · OPEN QUESTION

How does one developmental grammar produce stable anatomy and individual identity?

We do not know the complete answer. The lab tests whether reaction–diffusion fields, tissue mechanics, transient vascular networks and developmental history leave distinguishable statistical footprints. A visual resemblance is not mechanism proof.

H₁Reaction–diffusion field
H₂Mechanical growth and folding
H₃Transient vascular scaffold and regression
H₄Coupled hybrid developmental history

INTERPRETATION RULES

Every result carries its epistemic status.

We label the strength of each statement so a computer-generated number cannot quietly become a biological claim.

StatusMeaningExample
measuredDirectly calculated from the submitted pixels or pupil time series.Glare fraction, annular texture orientation.
inferredModel-dependent estimate with uncertainty.Candidate crypt boundary at a given confidence.
hypothesisA falsifiable developmental explanation.Vascular regression contributed to a topology.
unsupportedNot justified by current evidence.Diagnosing an organ, disease, personality or personal history from iris zones.

OPTIONAL · HUMAN REVIEW

One deeper reading. $170.

A 60-minute research review of image quality, visible morphology and model limitations. No recurring plan and no medical diagnosis.