Source: Uni Kiel; research by Martina Gerken, Kevin Köser, Leonhard Buck et al. (Kiel University) (November 3, 2026). AI-generated summary by biochip.com, published . Not independently reviewed.
Key takeaways
- Kiel University, UKSH, and Krämer Engineering Solutions are developing KIBaChip to detect bacteria directly in urine.
- A disposable microfluidic chip concentrates bacteria for microscope imaging and artificial intelligence analysis.
- The project has not reported diagnostic performance results; a validated prototype is expected by the end of the project.
Kiel University, University Medical Center Schleswig-Holstein, and Krämer Engineering Solutions GmbH are developing KIBaChip, a microfluidic system intended to detect bacteria in urine without waiting for them to grow in a culture. The project combines a disposable chip that concentrates bacteria with microscope imaging and artificial intelligence analysis. The goal is to deliver results sooner than the one to two days typically needed for a urine culture, potentially helping clinicians choose antibiotics more selectively.
Concentrating bacteria in a chip
A urine culture works a little like giving bacteria time to multiply until they are easier to identify. That wait can lead clinicians to prescribe broad-spectrum antibiotics, which target many kinds of bacteria, while they await results. KIBaChip is being designed to shorten that delay by examining bacteria directly in the urine sample.
A pump moves urine through a two-layer disposable microfluidic chip, a small device that guides fluid through tiny channels. Inside the chip, a pressure-controlled membrane adjusts the channel height and regulates the flow. This process is intended to gather bacteria into a smaller area, making them easier to examine optically.
From microscope images to analysis
A compact microscope camera captures images of the concentrated bacteria. Artificial intelligence analyzes those images as part of the proposed automated diagnostic system. The project description does not specify which bacterial species the system can distinguish or how it will identify them.
The partners are developing the device for use in laboratories and hospitals. Kiel University’s Department of Electrical and Information Engineering and Department of Computer Science are involved, along with the university hospital’s urology clinic and the engineering company. The project also lists m-u-t GmbH and Medizinisches Laserzentrum Lübeck GmbH as associated partners.
Why This Matters
Urinary tract infections are common, and faster information about the bacteria causing an infection could help guide more targeted antibiotic treatment. KIBaChip’s central idea is to combine physical concentration of bacteria with optical imaging, rather than rely on the time needed for bacteria to multiply in culture.
The project aims to produce a compact, largely automated diagnostic device, with a validated prototype expected by the end of the project. That remains a goal, not a reported result: the project description does not provide test data on diagnostic accuracy, speed, or performance with patient samples. Those results will be important in determining whether the approach can support clinical decisions.
Topics: Microfluidics · Diagnostics & precision medicine · Infectious diseases
Start here: Microfluidics explained