HSA Project Overview

HS Analysis deals with many different kinds of projects ranging from industrial observations and automation over histologic image analysis to spectrum analysis and genome identification. We are proficient within the domains of image-, audio-, spectral- and proteomic-analysis, with applications in the scientific, clinical and industrial realm.

Here are some of our projects:

The HSA KIT enables precise quantification of DNA damage in radioimmunotherapy research, aiding in the protection of subsidiary organs and improving experimental reproducibility.

Its features include automated data traceability, efficient modifications, and comprehensive evaluation of experimental results.

HS Analysis leverages advanced AI algorithms and machine learning to distinguish ocular tumors from non-tumorous conditions, significantly improving early diagnosis and treatment outcomes in ophthalmology.

Their state-of-the-art software integrates seamlessly with various imaging modalities and devices, providing healthcare professionals with precise and efficient diagnostic tools.

HSA KIT employs advanced deep learning algorithms to accurately identify psoriasis by analyzing annotated skin images, enhancing early diagnosis and optimizing patient care.

Ground Truth Data and various augmentation techniques ensure the AI model is robust, improving its ability to handle different image artifacts for reliable detection.

With sophisticated AI technology, the HSA KIT transforms colorectal carcinoma detection, offering high-end professional annotation and seamless integration with current pathology systems.

The HSA KIT software utilizes AI to significantly improve the accuracy of colorectal cancer detection by employing deep learning models for precise image analysis.

HS Analysis GmbH’s automated object detection harnesses advanced computer vision to consistently analyze image sequences, enhancing efficiency and accuracy in industrial applications.

This innovation significantly reduces manual intervention and human error, offering dynamic solutions for asset management and quality control.

Our cutting-edge AI technology provides an End-to-End deep learning model that can predict and optimize manufacturing line parameters, enabling accurate simulations based solely on desired product shapes.

By leveraging our HSA tools—Transform, Compare, and Inspect—you can seamlessly convert data formats, evaluate manufacturing accuracy, and optimize key parameters to enhance product quality and streamline expert focus on critical tasks.

The HSA KIT leverages AI and advanced deep learning models to significantly improve the detection and diagnosis of chronic myeloid leukemia by accurately identifying and classifying various CML cells.

Its heatmap tool and intuitive interface make it a valuable resource for medical professionals seeking detailed visual interpretations and validations.

It supports comprehensive detection and visualization of CML cell structures, offering invaluable assistance in clinical settings.

The HSA KIT leverages AI to revolutionize colorectal cancer diagnosis by improving early detection through advanced medical imaging and data analysis tools.

This software not only integrates seamlessly into existing laboratory systems but also provides comprehensive reports, facilitating more accurate prognoses and personalized treatment plans for patients.

ESR spectroscopy, especially when implemented with HSA KIT, is a powerful technique for analyzing materials with unpaired electrons, offering insights into the structure, bonding, and quantity of these species across fields such as food science, biochemistry, and materials science.

By leveraging principal components analysis (PCA) and deep learning, HSA KIT ensures accurate identification and quantification of substances, aiding in efficient quality control and regulatory compliance.

At HS Analysis GmbH, we offer a versatile and powerful online API for image analysis, which can be seamlessly integrated into any system, including your own processes. Our advanced technology leverages multiple AI models to perform a variety of tasks, including classification, object detection, segmentation, and instance segmentation.

Our API not only delivers precise AI results but also provides additional valuable data such as area percentages and custom properties, enabling deeper insights and more informed decisions. Plus, it can be easily extended to meet specific customer needs, ensuring a tailored solution for your unique requirements.

The module called Fungilyzer is designed specifically for the analysis of hyphae and vacuoles in fungal fermentation. This module allows for precise detection and classification of these structures, providing valuable insights into fungal growth dynamics. The results can be used to optimize fermentation conditions. The software is user-friendly, highly accurate, and compatible with both Linux and Windows, offering features such as offline work and the generation of reports in CSV and Excel formats.

AI-enhanced stethoscopes transform the detection of congenital heart defects by analyzing heart sounds with advanced algorithms to identify abnormalities early, even in the absence of symptoms.

This innovative technology empowers healthcare professionals to make accurate diagnoses and enables timely intervention, improving patient outcomes.

Lateral Flow Assays (LFA) are widely used diagnostic tools in medical and biological fields, notably in Covid-19 rapid tests and pregnancy tests, due to their efficient detection capabilities.

Leveraging advanced image analysis and machine learning, our partners at the University of Furtwangen have enhanced LFA accuracy for applications such as sepsis biomarker detection and medication dosage monitoring, integrated into our comprehensive Analysis Kit.

With HSA TRAC, HS Analysis is developing a system for the anonymous analysis of customer movements using event-based cameras in order to comply with data protection guidelines and at the same time gain valuable insights into purchasing behavior.

The innovative technology significantly reduces the amount of data and thus optimizes processing by neural networks.

Event-based cameras and spiking neural networks offer a resource-efficient solution for energy consumption and data protection in retail.

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