News from Visiopharm

Webinar: Nuclei Segmentation Using Artificial Intelligence

Imagine an APP for nuclei segmentation that is reliable and can be used by anyone in your lab.

Join our webinar 10th of December and learn how you can use the new Artificial Intelligence Nuclei Segmentation APP to:

  • Robustly define and quantify nuclei in both H&E and IHC images
  • Generate results for sensitive and often challenging cases

Register now

Train with Us – Visiopharm’s Training Academy

Do you need assistance in moving your project forward? Sign up Visiopharm’s software courses. You can get help to design your APPs for image analysis projects or design your protocol for a stereology study.

Available Courses:
Image Analysis – Beginners
Image Analysis – Advanced

Check out the course agendas and reserve your seat here

New APP: H&E, Metastasis Detection, AI

This APP utilizes AI/deep learning and has been trained to detect micro- and macro-metastases in lymph nodes associated with breast cancer, stained with H&E. The deep learning architecture allows it to recognize complex structures and interpret the tissue context when analyzing an image, making it an efficient tool for detecting even small metastases that are not easily noticed.

For more information visit our APP Center

New APP: CK, Metastasis Detection

Tumor staging, diagnosis, and treatment choices depend, for most cancer types, on the size of the primary tumor and whether it has metastasized to regional lymph nodes. Lymph node metastasis can be identified using a pancytokeratin (PCK) stain as a cytoplasmatic marker, coloring them brown. 

The APP identifies cytokeratin positive cells and calculates the diameter or area, of the largest tumor. Images can easily be sorted based on their size, e.g. listing them in descending order.

For more information visit our APP Center

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Visiopharm software is featured in over 1300 international scientific publications. They are based on collaborations with leading scientists in hospitals, biopharmaceutical companies and research institutions around the world. Select a main category to access the publication list.