Pikodya is an Israeli health-tech company that has developed a point-of-care diagnostic platform called B-Matrix™. The platform uses microfluidics technology in microarrays to perform molecular and immunochemical tests simultaneously on small samples of fluids such as blood, urine and saliva, providing laboratory-grade results within 15 minutes. The company’s goal is to streamline and make diagnostics accessible quickly and efficiently, with the intention of expanding to global markets.
To design a point-of-care diagnostic platform that enables fast, accessible fluid-based testing for detecting different diseases and medical conditions.
The interface needed to support multiple tests running in parallel, combine automated and manual workflow steps, and help medical teams perform more diagnoses in less time – including in low-resource environments.
The system had to tightly connect a physical diagnostic robot with a remote digital interface used to monitor, guide, and control the testing process.
The challenge was to make every physical action, system status, and instruction clearly reflected on screen at the right moment.
The workflow combined physical sample preparation with precise digital configuration.
Users had to place samples correctly in trays and match each physical location to its digital position. Because errors could be costly, the interface needed to guide users clearly and reduce mistakes at every step.
The robot could run multiple tests in parallel, but each test had different timing requirements and dependencies.
The challenge was to help users plan, monitor, and optimize the test queue, keeping the robot productive and minimizing wasted time.
Our solution focused on bridging the physical and digital workflow by aligning the system with the lab worker’s mental model.
We designed an interface that clearly connects tray insertion, sample scanning, and digital sample mapping, while supporting parallel test management, optimized scheduling, and continuous monitoring through alerts and status updates.
We began with user interviews, observations, and a detailed visit to the laboratory.
We studied the full workflow in depth – from sample collection and preparation, through tray handling and sample placement, to inserting the tray into the device and starting the test. We also examined the working environment, lighting conditions, tools, and physical constraints that affect the lab technicians’ daily work.
After mapping the complex user scenario, we identified the main workflow challenges and potential failure points.
Based on these insights, we created a UX concept that connected the physical lab process with the digital interface, helping users perform each step accurately and with greater confidence.
Once the UX concept was approved, we moved into the visual design phase.
At this stage, we combined several key considerations: the client’s vision for the product, the company’s brand values, technical limitations, and the practical needs of lab workers.
The visual design was used not only to define the system’s look and feel, but also to complete the UX – supporting attention management, workflow order, readability, and usability within the real conditions of the laboratory.
Connecting the physical world with the digital world
It was necessary to accurately model the robot in order to create a connection between the physical and digital worlds, and to transfer the sample arrangement technique in a way that would allow correlation between inserting the tray with the tests into the machine and scanning the samples in the system.
Managing a variety of simultaneous operations and managing waiting times
The challenge was to design a system that could effectively manage multiple operations simultaneously, while maintaining transparency for the user regarding what was happening at any given moment. Our solution included optimizing the waiting times between diagnostics, so that while the system is performing diagnostics, the user can already plan the next diagnostics. In addition, during work, the system allows access to the results of completed diagnostics and to manage the schedule of continued work, so that flexibility in time management is maintained. All this, while combining a constant monitoring system and alerts that provide the user with up-to-date information about every process in the system.
