PhotonMechSolutions
Services

From a physical effect to a product someone can buy.

Engagements range from a two-week feasibility study to owning the technical development of an instrument end to end. Most projects touch several of the blocks below — they are separated here for clarity, not because they are sold separately.

01

Optical design & simulation

Deciding what the instrument should look at, how to illuminate it, and how much signal will actually reach the detector.

  • Illumination and detection architecture, including structured and multi-angle schemes
  • Radiometric and signal-to-noise budgets, before anything is bought
  • Monte-Carlo radiative transfer modelling in scattering and absorbing media
  • Source, optic, filter and detector selection, with tolerance analysis
  • Optomechanical layout, alignment strategy and stray-light control
  • Rapid optomechanical prototyping by 3D printing — mounts, sample cells, housings and alignment jigs iterated in days rather than in supplier lead times
DeliverablesDesign report · simulation model · bill of materials · measurement-limit assessment
Fig. 1Design-space study
One of five candidate layouts: structured source, scattering sample, camera in forward scatter.
Fig. 1 — One of five candidate layouts: structured source, scattering sample, camera in forward scatter.
02

Algorithms, models & AI

Turning a raw detector signal into a number that survives contact with a reference method.

  • Calibration models, baseline and scattering correction, spectral preprocessing
  • Inverse problems: particle size distributions, concentrations, multi-component unmixing
  • Chemometrics (PLS, PCA) and machine-learning models, including on-device inference
  • Uncertainty quantification — what the number is worth, and when it should not be trusted
  • Benchmarking against established reference instruments, on real samples
DeliverablesReference implementation · validation dataset · benchmark report · production-ready model
Fig. 2OD 2.31 · red channel
Model against measurement on 30 µm polystyrene. Line: Monte-Carlo model. Crosses: measured.
Fig. 2 — Model against measurement on 30 µm polystyrene. Line: Monte-Carlo model. Crosses: measured.
03

Software & embedded systems

The code that runs the instrument, on the bench and in the field, without someone watching it.

  • Instrument firmware and real-time acquisition, on microcontroller and Linux-class targets
  • C++/Qt and Python applications: acquisition, processing, operator UI, service tooling
  • On-device inference and signal processing under real timing and memory constraints
  • Data logging, export formats and interfaces for downstream analysis
  • Test benches, automated calibration routines and production test software
DeliverablesFirmware · desktop or embedded application · test tooling · technical documentation
04

Integration & industrialisation

Getting the instrument out of the lab and into a process that will not adapt to it.

  • Industrial protocols and buses: Modbus, 4–20 mA, Ethernet, OPC UA, MQTT
  • PLC, SCADA and historian connectivity, including soft-sensor deployment
  • Mechanical, thermal and environmental integration for industrial conditions
  • Prototype to production: design-for-manufacture review, test strategy, CE-readiness support
  • Commissioning, field validation and handover to the customer’s own team
DeliverablesIntegration design · protocol implementation · commissioning report · handover package
05

Feasibility & technical advisory

The cheapest part of a project is finding out early that it will not work — or exactly how it will.

  • Feasibility studies: is the measurement physically possible on this sample, and at what accuracy?
  • Technical due diligence on optical technologies and measurement claims
  • Design and architecture review of an existing instrument or development programme
  • Technology scouting, patent-landscape reading and R&D roadmapping
  • Acting as the embedded technical lead for teams with no in-house optics function
DeliverablesFeasibility report · go / no-go recommendation · architecture review · roadmap
Fig. 3200 trials · 10 % channel noise
Sizing error against particle diameter, structured illumination (blue) versus raw signal (grey). This is how a layout gets chosen before any hardware is built.
Fig. 3 — Sizing error against particle diameter, structured illumination (blue) versus raw signal (grey). This is how a layout gets chosen before any hardware is built.
Contact

Not sure which of these you need?

That is a normal starting point. Describe the problem and we scope it together.

Describe your problem