Instrument Control Software Development for Life-Science Hardware

Instrument control software is the layer between an instrument's hardware and the people or systems that use it. It manages hardware communication, real-time control loops, data acquisition, operator UI, and integration with downstream lab informatics. For regulated instruments (IVD, diagnostic, GxP), it also carries the validation evidence the QMS depends on.

LIMS and ELN sit above the instrument - they manage samples, methods, results, and lab workflow. Instrument control software sits at and below the hardware - it operates the device. The two integrate through APIs, but they solve different problems and have different validation requirements.

USB, RS-232, GPIB, CAN, Ethernet (raw socket and gRPC), SiLA 2, vendor-specific SDKs (Hamilton, Tecan, Beckman, and others on request), and proprietary serial / parallel protocols when needed. We open-source our SiLA 2 work via openapi-to-sila2 on PyPI.

Greenfield instrument software typically runs 3-9 months at our pod cadence (Component Ownership engagement) depending on complexity. A focused MVP - one instrument family, core operator workflow, no regulatory submissions - is 3-4 months. A regulated diagnostic platform is 9-18 months and involves QMS engagement throughout.

Architecturally yes - audit trails, electronic-signature flows, time-correlated logging, immutable history, role-based access control, validation impact assessments. Validation evidence is your QMS work; we provide the architecture, the documentation, and the test artifacts that QMS expects. We have shipped instrument software on a clinical-grade IVD platform.

Yes - this is a common engagement shape. We typically wrap legacy C++ instrument-control logic in a modern API layer and let a new web or desktop UI consume it, then phase out legacy components over 6-12 months. Our [Lab & Instrument Software Modernization](/lab-software-modernization) page covers the methodology in detail.

AI-ready means the instrument exposes a structured, documented API or MCP server that AI agents can discover and operate, with safety policies and human-in-the-loop approval built in. We design every modern instrument software project this way - even if you do not have an AI use case today, your future does.

No. We write host-side instrument software - the layer running on the embedded computer or workstation that talks to the instrument and to operators. Firmware (the code on the microcontroller, FPGA, or RTOS-class device) stays with your hardware team. We integrate with whatever firmware-side wire protocol the hardware team owns.

Default stack is Rust or C++ depending on the program. For new instrument programs targeting IEC 62304 Class C, we have shipped a greenfield Rust communication and firmware-serialization library on a clinical-grade IVD platform (2025). Ferrocene's IEC 62304 Class C qualification (Jan 2025) makes Rust legally usable in regulated medical software. We recommend Rust where memory safety and FDA 524B / IVDR cybersecurity posture justify the toolchain investment.