AmperieLabs Services
Scientific data, made usable.
Signal analysis, biological image analysis, ML validation and reproducible pipelines for research and R&D teams.
Four connected capabilities.
Choose a starting point
01 · Continuous signals
Signal analysis
Quality assessment, drift, artefacts, event alignment, preprocessing and feature extraction for physiological, acoustic and sensor recordings.
02 · Scientific images
Biological image analysis
Segmentation, object detection, fluorescence quantification, spatial checks and batch-level QC for microscopy and biological images.
03 · Evidence before scale
ML validation
Grouped testing, leakage checks, robust baselines, confound analysis and useful error slices for scientific and sensor datasets.
04 · Repeatable delivery
Data pipelines
Tested Python workflows for ingestion, QC, analysis, figures and reporting, with configuration, provenance and technical handover.
From raw input to a defensible handover.
Working sequence
01
Inspect
Files, metadata and protocol.
02
Measure quality
Artefacts, missingness and drift.
03
Align
Events, channels and annotations.
04
Test the claim
Baselines, groups and confounds.
05
Build
Tested, repeatable analysis code.
06
Hand over
Documentation and known limits.
Complex scientific data, across formats.
Typical material
01
Physiological recordings
02
Wearable and sensor data
03
Experimental time series
04
Biological images
05
Acoustic recordings
06
Instrument exports
07
Scientific software
08
Research workflows