Medical

Machine vision is an essential part of the medical devices field. It improves decision-making processes among doctors by providing more accurate and faster diagnostic capabilities. The technology allows doctors to analyze and process large amounts of medical data, such as X-ray, MRI, and CT images, In a shorter time span and with higher reliability. Computer vision systems provide Computer-Aided Diagnosis (CAD) that detects pathologies and diseases earlier, allowing doctors to make more informed and quicker decisions regarding the required treatment. In addition, machine vision improves the performance of medical procedures by increasing the accuracy and speed of surgeries and medical interventions. Advanced medical devices using this technology enable doctors to perform complex procedures with higher precision, reduce the risk of errors, and increase the chances of successful treatments. By analyzing images in real-time and producing detailed reports, computer vision contributes to improving doctors’ ability to track treatment progress and adjust the treatment plan according to the patient’s precise needs. All these lead to an overall improvement in the quality and efficiency of medical treatment.

Medical navigation system – implantation of a therapeutic component near the brain after a stroke

The Need

Our client developed a unique and innovative procedure for treating and minimizing the damage caused by a stroke. Part of the process includes the implantation of a tiny electrode inside the palatal canal adjacent to the sphenopalatine ganglion. To perform the implantation quickly and accurately, a dedicated navigation system supporting the medical procedure is required. Additionally, to ensure the treatment is accessible to a large number of patients, the system’s cost should allow for the deployment of multiple units across many clinics, rather than being limited to just a few hospitals.


The Challenge

  • Achieving very high accuracy.
  • Performing real time response.
  • Application on a low budget embedded platform with low power consumption.

 

3dCam Medical navigation system

 

The Solution

Design and development of a 3D camera with 100-micron precision, based on spatial localization of dedicated markers placed on the medical tools used by the doctor. The system was designed to cover the entire defined treatment area and consider the patient’s position in relation to the procedure’s tools and camera. The development included optical and optomechanical design, electronics, software and algorithms to perform the navigation and communication with the doctor’s systems in real-time. To reduce the system’s cost, it was implemented on an SBC (Single Board Computer) with ARM processors, and the selected optics were off-the-shelf board cameras with medium resolution and commercial lenses.

The camera complies with FDA requirements for the process.

Optimal selection of sperm cells - in vitro fertilization (IVF)

The Need

Our client developed a unique imaging method that enables the creation of a real-time 3D model of a sperm cell without damaging it. The collected data enables the selection of potential sperm cells with better chances of fertilization and embryo formation. As part of the final product, there is a need to perform simultaneous tracking of many cells that are moving around in a sample to measure their motility. Additionally, after selecting a specific cell, it needs to be scanned with a different method to extract its 3D data to provide a final score for the selection.


The Challenge

  • Achieving sustainable tracking of multiple cells simultaneously.
  • Performing real-time tracking in a complex and unconstrained scene.
  • Extracting accurate temporal cell parameters from a noisy image and deriving a reliable score from it.

 

 

 

The Solution

Design and development of two software modules integrated into the client’s system.
The first module retrieves real-time data from the laboratory microscope and performs tracking, parameter measurement, and generates a recommendation to the user on which cell to choose. The tracking is done in a noisy environment with movements of the sample itself and the presence of a collection needle also moving within the sample space. The second module interprets the physical data received from the device developed by the client, constructs and collects 3D data on the selected cell. After processing the data using various methods, a final suitability score for fertilization is generated.

The systems take WHO parameters into consideration in the process.

Analysis of histopathology samples - decision support system for laboratories

The Need

As part of their routine work in laboratories, the client needed an auxiliary tool for analyzing
histopathology samples. The purpose of the tool is to ease and improve the identification of
anomalies or abnormal cells, accurately count cells, measure the sizes of cells or blood
vessels, and extract and save statistics of the samples. It is important to note that the workload
on laboratories is substantial, and such a tool can shorten the analysis process. This allows for
quicker and better responses to patients or accelerates the research process.

The Challenge

  • Extracting accurate cell parameters from a noisy image while considering the spatial continuity of the sample.
  • Automatic handling of a wide range of magnifications.
  • Automatic application of relevant preprocessing methods and segmentation techniques.

 

pathology Analysis of histopathologicy

 

The Solution

Design and development of a software module that connects to the laboratory microscope and performs all the tasks in real-time while handling various magnifications and lighting conditions without interrupting the user’s routine work. The system can present its findings and recommendations to the user over the displayed sample. Additionally, if the user scans the sample, the system can create a visual sequence of the entire scan area and generate data for the unified image. The system greatly facilitates the user’s decision-making process and can improve the decision by bringing things to their attention that were previously unnoticed. The system is suitable for both hospitals and research institutes.

Solutions for a variety of industries

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