Mindpeak Gastric PD-L1 is an advanced software solution designed for the automated analysis of gastric cancer tissue samples. Tailored for digital histopathology, it streamlines the evaluation of PD-L1 stained images by detecting and classifying tumor and immune cells, thereby enhancing the efficiency and accuracy of PD-L1 assessment in gastric cancer diagnostics.
Mindpeak Urothel PD-L1 is an advanced AI-powered software module designed for the automated analysis of digital histopathology images of PD-L1-stained urothelial carcinoma tissue samples. This tool streamlines the detection and quantification of PD-L1 expression, providing pathologists with rapid and precise assessments to aid in diagnostic decision-making.
Mindpeak Breast Ki-67 HS is an advanced AI-powered software designed for the automated analysis of digital histopathology images of human invasive breast carcinoma tissue samples. It specializes in detecting and quantifying Ki-67, a crucial biomarker associated with cell proliferation, within tumor regions of interest using the hotspot method. This stand-alone module seamlessly integrates into existing laboratory workflows without the need for manual fine-tuning, enhancing diagnostic accuracy and efficiency.
Mindpeak Breast Metastasis Detection is an advanced AI-powered solution designed to assist pathologists in the efficient and accurate identification of breast cancer metastases within H&E stained lymph node tissues. By automating the detection process, this tool aims to reduce the time and effort traditionally required for manual analysis, thereby enhancing diagnostic efficiency.
Mindpeak Esophagus PD-L1 is an advanced software solution designed for the automated analysis of digital histopathology images from PD-L1-stained esophageal squamous cell carcinoma tissue samples. This stand-alone application streamlines the detection and quantification of PD-L1 expression, providing pathologists with rapid and accurate tumor proportion scores (TPS). By differentiating between stained (tumor positive) and unstained (tumor negative) cells, the software enhances the precision of immunohistochemical assessments, thereby supporting more informed research decisions. Mindpeak Esophagus PD-L1 is intended for Research Use Only and is not for use in diagnostic procedures.
Mindpeak Lung (NSCLC) PD-L1 is an advanced AI-powered software designed to automate the analysis of digital histopathology images of non-small cell lung cancer (NSCLC) tissue samples. This stand-alone module detects invasive carcinoma regions and accurately classifies tumor cells as PD-L1 positive or negative, providing a tumor proportion score (TPS) to assist pathologists in evaluating PD-L1 expression levels.
Mindpeak Prostate H&E is an advanced software module designed for the automated analysis of digital histopathology images of prostate needle biopsies. It identifies areas suspicious for cancer and grades malignancies using the Gleason scoring system. This tool enhances the efficiency and accuracy of prostate cancer detection and grading, providing pathologists with reliable and reproducible results.
Mindpeak Breast HER2 is an advanced AI-powered software designed for the automated analysis of digital histopathology images of human invasive breast carcinoma tissue samples. This stand-alone module supports the evaluation of digital images obtained by scanning fixed and HER2-stained samples of invasive ductal and lobular carcinoma. By detecting and classifying immunohistochemically (IHC) stained tumor cells, the software provides a HER2 score based on the distribution of classified tumor cells within regions of interest, adhering to the latest clinical practice guidelines of the American Society of Clinical Oncology and the College of American Pathologists (ASCO/CAP 2023).
Mindpeak Onychomycosis AI is the first commercially available dermatopathology AI solution designed to detect nail fungus hyphae in whole-slide images without manual fine-tuning. It categorizes cases based on detection status, offering reliability comparable to human experts. The software supports most scanners and microscope cameras and can be seamlessly integrated into existing systems.