In a urine sediment analysis, laboratory employees examine the solid components of a urine sample under microscope to diagnose diseases of the kidney or urinary organs. However, manual examinations under microscope generally carry a risk of errors and take up valuable time. Many laboratories therefore use automated systems. These differ according to the required performance, functionality, complexity, and design size, which also means they vary in terms of their integrated vision system. The AI digital microscope of our Clusterpartner Opto features a Convolutional Neural Network (CNN)-based embedded vision system. The cost-effective and high-performance microscope is a significant first step to automate lab analytics and processes.
Lab analyses must increasingly be provided quickly and inexpensively, without compromising on reliability. The decisive factor is the integration of the right hardware and software components—namely those that are coordinated with each other. That was realized with a CNN-based analysis algorithm on the right embedded vision system from Basler, completely integrated into a compact, robust Imaging Module profileM from Opto.
The AI microscope offers a reliable and inexpensive CNN-based vision system suitable for tasks such as automated microscopic examination of urine sediment.
The uniqueness of the solution lies in the integration of a high performance transmitted digital light microscope out of the Opto imaging Module family and the extremely powerful vision system consisting of a 5 MP color camera module and the Embedded Vision Processing Board.
The digital microscope has a magnification of 20x and an integrated transmitted white light LED condenser, optimized to the application of urine sediment analysis. The camera and processing board are completely integrated inside the full aluminum microscope frame and can be controlled through a one cable USB 3.0 connection. This results into an ultra-compact edge processing AI microscope sensor for the implementation in high throughput machineries or in a Point of Care (POC) analysis device.
AI microscope presented in Fig. 1 & Fig. 2 will come with an intuitive user interface for the urine sediment analysis and a pre-trained CNN for major marker to classify the urine sample for further diagnostics. The on-board software coordinates the image acquisition, processing and adjusts the LED.
To make this package plug&play the Opto GmbH offers as a service for OEM integration, individual training assistance for the CNN and integration support in local network architectures. We can adjust existing algorithms to automate specific pre-classification of the patient samples.
Compressed microscope- and vision- know how from the specialists in one plug&play AI microscope
Expertly produced with long-term availability and price/performance optimization
Seamless integration of traditional and CNN-based image processing and analysis
One stop shopping for automation of your individual microscopic process
Fig. 1: Opto's AI Microscope with an intuitive user interface for the urine sediment analysis (Copyright Opto GmbH, 2023)
Fig. 2: Software UI to classify the urinje sample for further diagnostics (Copyright Opto GmbH, 2023)
For more information visit out Clusterpartner website.