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inForm Tissue Finder

inForm® Tissue Finder™ adds exceptional functionality to inForm Cell Analysis to automate the detection and segmentation of specific tissues through powerful patented pattern recognition algorithms. Automation provides consistent reproducible results and enables comparative studies of multiple markers and specimens, supporting researchers to make faster discoveries of the indicators of disease.

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Once trained, inForm will locate and analyze user-specified regions automatically across an entire image or multiple images.
Large numbers of images can be rapidly batch processed, allowing analysis that might have taken days to be done in a matter of minutes.
Key Features:

  • Visualizes, analyzes, quantifies and phenotypes immune and other cells in situ in solid tissue
  • Pathology Views™ to render immunofluorescence images as H&E, DAB and hematoxylin
  • Automated quantitation of biomarker expression from specific tissue types (e.g. tumor/stroma)
  • Trainable tissue segmentation learns by example – automatically locates tissues / structures of interest
  • Separates weakly expressing and overlapping markers
  • Batch processing of images using customizable image analysis workflows
  • Scoring (% positivity, 0/1+/2+/3+, co-localization and more)
  • Review and merge data from a set of images or slides into summary data files to assure data quality
  • Export data and images for further analysis e.g. TIBCO Spotfire® Analyst for Quantitative Pathology

Resource Library & Events

Resource Type File Name File Format
Brochure Phenoptics™ Research Solutions PDF 11 MB
Product Note inForm Advanced Image Analysis Software PDF 2 MB
Application Note Evaluating EMT in FFPE Tissue Sections Using the inForm Data Analysis Software PDF 1 MB
Application Note Phenotyping Immune Cell Subsets in situ in FFPE Tissue Sections PDF 1 MB
Product Info Let's Rid the World of Ribbons - Infographic PDF 822 KB
E-book Download Phenoptics Research Solutions E-book Link
Poster Evaluation Of Tumor Immune Infiltrate as a Determinant of Response to Neo-Adjuvant Lapatinib Link
Scientific Paper NEJM: Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma Link
Scientific Paper Esbona, Karla, et al. "COX-2 modulates mammary tumor progression in response to collagen density." Breast Cancer Research 18.1 (2016) Link
Scientific Paper Feng, Zipei, et al. "Multispectral Imaging of T and B Cells in Murine Spleen and Tumor." The Journal of Immunology 196.9 (2016): 3943-3950 Link
Scientific Paper Woods, Katherine, et al. "Mismatch in epitope specificities between IFN? inflamed and uninflamed conditions leads to escape from T lymphocyte killing in melanoma." Journal for immunotherapy of cancer 4.1 (2016) Link
Scientific Paper Huang, Fangjin, et al. "Quantitative imaging for development of companion diagnostics to drugs targeting HGF/MET." The Journal of Pathology: Clinical Research (2016) Link
Scientific Paper Ören, Bilge, et al. "Tumour stroma-derived lipocalin-2 promotes breast cancer metastasis." The Journal of Pathology (2016) Link
Scientific Paper Linch, Stefanie N., et al. "Combination OX40 agonism/CTLA-4 blockade with HER2 vaccination reverses T-cell anergy and promotes survival in tumor-bearing mice." Proceedings of the National Academy of Sciences 113.3 (2016): E319-E327 Link
Scientific Paper NEJM: PD-1 Blockade with Pembrolizumab in Advanced Merkel-Cell Carcinoma Link
Scientific Paper Novartis Genoptix Shows Multiplexed IHC Test Better Predicts Immunotherapy Response Link
Scientific Paper Mlecnik, Bernhard, et al. "The tumor microenvironment and Immunoscore are critical determinants of dissemination to distant metastasis." Science translational medicine 8.327 (2016) Link
Software Downloads Click here to download latest software Link
Story How Your Immune System Can Fight Cancer Link
Webinar Using multiplexed IHC to Effectively Navigate the Hidden Clues of the Immunological Microenvironment Link