The precision engineering behind next-generation surgical optics

When AI was used to live analyse a brain surgery at University College London Hospitals, it offered a glimpse of how it could help surgeons identify delicate anatomical structures in real time. But before software can interpret an image, the optical system must first capture the image with sufficient clarity and precision.

In August 2026, surgeons at University College London Hospital removed a tumour from a man's head using AI analysis. Throughout the operation, the tool analysed a video feed and advised surgeons on how to avoid crucial but hidden vessels and nerves in the brain. With this insight, surgeons removed the tumour safely in what was a 'world first' operation.

AI is changing how surgeons interpret visual information. From positioning lenses to aligning laser components, these applications need precise mechanical movement to perform their intended function.

A closer look at precision

Capturing a clear image is only part of the challenge. In surgical optical systems, lenses, mirrors and other components must be positioned with exceptional accuracy, often within equipment where space is severely limited. Whether bringing a small area into focus or directing light towards a specific target, even the smallest movement can make a difference.

The importance of this becomes clear across many medical applications. Endoscopes must provide clear views of internal structures within confined spaces, while medical lasers rely on carefully aligned optics to direct energy towards a specific target. Femtosecond lasers, for example, are used in eye surgery to make highly controlled changes to tissue, requiring their optical systems to guide laser pulses accurately.

Although these applications differ, they all depend on components being positioned and adjusted with precision. Even small deviations can affect image clarity or the path of a laser beam, making the mechanisms controlling optical movement an important consideration in medical equipment design.

Controlling movement

Maintaining the required alignment poses an engineering challenge. Lenses may need to shift to adjust focus, while mirrors, prisms and filters can require controlled repositioning to perform their intended function.

The movement must suit the application. Some mechanisms need to make very small incremental adjustments, while others must move between defined positions quickly and consistently. Engineers must account for the mass of the moving components, the available space and the level of control required.

Micromotors can provide the controlled movement needed to adjust optical components within compact medical equipment. The most suitable type depends on the movement required. Stepper motors, for example, can be used where accurate, repeatable positioning between defined points is important, while DC motors can support applications such as lens focusing and optical adjustment. Engineers must consider the required movement, available space and level of control when selecting a motor for an optical system.

Designing for accuracy

Fitting optical components into a compact assembly creates further design considerations. Motors must work alongside lenses, sensors and electronic controls without making the equipment unnecessarily large or adding complexity to the overall mechanism.

The drive system also needs to deliver movement appropriate to the task. Gearheads can adapt the speed and torque available from a motor, while encoders can provide feedback on position where required. Together with suitable control electronics, these components can help engineers manage movement and achieve consistent results.

Reliability is another consideration, particularly where equipment needs to maintain its performance over repeated use. Rather than selecting a motor in isolation, engineers need to consider how the complete drive system interacts with the optical assembly and the demands of its intended application. Getting these decisions right during development can help balance the competing requirements of size, accuracy and performance.

The use of AI during brain surgery highlights just how much medical technology is evolving, but advances in software are only part of the story. As surgical technologies become more sophisticated, the challenge will be to bring physical and digital capabilities together within equipment that is compact, dependable and capable of controlled movement. The next breakthrough in medical imaging may come from what AI can recognise, but its success will also depend on how effectively the hardware can reveal it.