Quantitative Image Analysis provides an objective assessment of staining intensity and tissue size or shape differences within your cohort of samples. We work closely with you to understand the nature of your study and provide a path towards obtaining standardized results and statistical analysis that can reveal numerous quantitative features of interest, usually exemplified by the percent of cells positive for a particular biomarker within your sections. We can also identify and quantitatively measure distinct tissue regions by training and applying machine learning classifiers to provide a deeper understanding of the changes in your tissue due to tumor growth, stromal infiltration, or necrotic foci formation.

Our laboratory offers serial sectioning of tissues for IHC immunostaining with distinct biomarkers; we have developed methods for intensity-based image alignment of multiple tissue sections to provide a "virtual multiplex" image, permitting the evaluation of regional distributions of multiple biomarkers. In addition to brightfield IHC analysis, we also offer customized quantitative analysis of highly multiplex imaging datasets, including for Imaging Mass Cytometry, Multiplexed Ion Beam Imaging, Co-Detection by indEXing, or Multiplex Immunofluorescence data. Services include customized and rapid development of cellular segmentation algorithms, as well as phenotypic analysis, t-SNE and UMAP dimensionality reduction, and clustering, and manual identification of cell types of interest.

We have more than 20 years of image analysis experience and provide rapid turnaround of results. Please reach out to us at info@histowiz.com for a free consultation to learn more about what we can do for you.

Region of Interest Classification:

Machine Learning / AI Classifier Training
  • Separate Tumor From Necrosis
  • Identify Glomeruli and Tubules in Kidney
  • Pancreatic Tumor / Stroma / Islet Segmentation
  • Colon Epithelium from Lamina Propria Segmentation
  • TMA-based Segmentation
  • Skin Epidermis / Layers of Dermis Segmentation
  • Brain Atlas-based Segmentation

Cellular or Area based IHC / IF Quantification:

% Positive Biomarkers on Cell / Sub-compartment basis:
  • Co-registration of serial brightfield IHC sections using intensity-based image alignment
  • Tumor Invading Lymphocyte (IHC & mxIF), plus distance analysis
  • Fatty Acid accumulation / NASH studies in liver
  • Muscle Fiber / Adipocyte size distribution analysis
  • Spleen Highly Multiplexed cellular phenotyping
  • Concentric partitioning / distance-based vessel and tumor edge analysis

Quantitative Image Analysis Services provided
by HistoWiz include:

Assess the number of positive cells for particular markers within distinct tissue areas

Quantify differences within specific cellular subcompartments (e.g. Nuclear to Cytoplasmic Ratio)

Break Whole Slide area into biologically relevant subregions (e.g. Tumor from Necrosis)

Measure differences in biomarker intensity & staining area

Provide objective assessment of differences between samples and treatment groups