Sperm Detection

Imaging Automation for Forensics

Utilize Deep Learning to Expedite Forensic Sperm Detection

Key Features

  • Uses Deep Neural Networks for object detection and classification.
  • Streamlines sperm detection, saving time.
  • Minimizes human error for precise identification.
  • Ensures standardized procedures and reliable results.
  • Swift analysis reduces case processing times and backlogs.
  • Facilitates comprehensive and systematic record-keeping.
  • Enables continuous forensic analysis.
  • Reduces subjectivity for more reliable assessments.
  • Allows allocation of human resources to complex tasks.
  • Easily adjusts to evolving forensic techniques and standards.
  • Frees up analysts to focus on result interpretation.
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Digital Workflow

MetaSystems offers the Customization Package Sperm Detection to establish a workflow for forensic sperm finding that has been successfully implemented for customer labs using standard Metafer platform functionality.

The Metafer-based workflow employs artificial intelligence, specifically Deep Neural Networks (DNN), for forensic sperm cell detection, even in cases of degradation, concealment, or tail absence. A thorough search on a standard specimen typically takes less than 15 minutes. Metafer supports unattended searches on up to 800 slides, prioritizes samples, and reads barcodes. The DNNs in the Customization Package Sperm Detection are trained with thousands of preparations and accommodate commonly used staining methods in forensic laboratories.

Configured with Neon technology, Metafer ensures careful data handling, providing full traceability, multi-level user accounts, and protection against unauthorized changes. It generates gallery images with quality scores and exact coordinates, facilitating efficient review and retrieval under the microscope, with seamless transfer to external microdissection systems.

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Frequently Asked Questions (FAQ)

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Legal Note

MetaSystems software provides, among other functions, features to assist users with image processing. These include, but are not limited to, the use of machine and deep learning algorithms for pattern recognition. The output generated in this process should be regarded as preliminary suggestions and, in any case, mandatorily requires review and assessment by trained experts.

MetaSystems offers Customization Packages for application workflows that have been successfully implemented for customer labs using standard Metafer platform functionality. It is expected that they can be implemented for other customer labs using similar workflows and slide preparation procedures. If a Customization Package is purchased, MetaSystems product specialists will – based on their experience from other similar application cases - support the customer lab in adapting the Metafer software configuration to their needs. The performance of the solution will depend on the quality of the customer slides and the expertise of the users, MetaSystems cannot specify or guarantee any performance parameters. The validation of the solution for clinical use is the sole responsibility of the customer lab.