Improving pathologist accuracy and clinical efficiency through characterized cell line quality controls and automated AI biomarker analysis.
Reimagining quality validation and clinical image workflows using our physical controls and machine-learning software tools.
Physical FFPE cell plugs arranged strategically. Built to standardize validation protocols and avoid staining failure pitfalls.
Automated image recognition scoring calibrated against characterized reference plug standards. Eliminates manual cognitive fatigue.
A rich teaching compilation curated for pathologists, histologists, and research trainees to learn whole slide quantitative metrics.
The science behind PCI-AI’s control panel approach, validated through peer review and published in an international pathology journal.
Peer-reviewed research demonstrating that a cell line–based p53 IHC control panel improves interrater reliability and reduces null pattern misinterpretation in ovarian cancer subtyping.
Read Publication Highlight →Guided topic modules covering IHC expression classification, MMR protein assessment, antibody optimization, and AI-assisted scoring — for pathologists, trainees, and laboratory scientists.
Interpret mismatch repair IHC staining for MLH1, MSH2, MSH6, and PMS2. Learn to distinguish intact from deficient nuclear expression using PCI-AI's QuadControl™ as your reference standard.
Use TriControl™ and QuadControl™ panels to eliminate batch-to-batch variability during antibody titration. Standardized null, wild-type, and diffuse controls accelerate assay development and sign-off.
Understand PCI-AI's three-tier expression framework — null, wild-type, and diffuse. Learn how each tier maps to PCI-AI's DualControl™ and TriControl™ panels for consistent, reproducible reporting.
Explore how PCI-AI's AI algorithms assist with IHC scoring — reducing pathologist evaluation time on demanding caseloads while maintaining accuracy across complex biomarker expression patterns.
Standardize, digitize, and interpret without any disruptive pipeline friction.
Insert a PCI slide carrying characterized cell line plugs during your routine patient run to serve as a benchmark for antibody calibration.
Export the high-resolution scanner output and drop it into the secure, tiled PCI Digital Viewer at pcibio.ai for instant rendering.
Our machine learning algorithm measures DAB expression and separation compared to reference cells, preparing objective outputs in minutes.
PCI-AI improves patient care through precision cell line IHC control panels and AI assessment assistance. Our work in cell line characterization and biomarker quality control helps pathologists and histologists achieve higher reproducibility and clinical efficiency.
Characterized FFPE cell line plugs enrich biomarker antibody optimization and decrease time for IHC assessment — assisting pathologists in their evaluation and reducing time spent on individual IHC cases.
TriControl™, QuadControl™ and DualControl™ panels for antibody optimization and quality control — defined null, wild-type, and diffuse expression profiles across validated cell lines.
AI algorithms to assist with IHC biomarker interpretation — automated classification of null, wild-type, and diffuse expression patterns to reduce pathologist evaluation time.
Guided topic modules covering IHC interpretation, biomarker assessment, and digital pathology fundamentals. Curated examples help pathologists and scientists distinguish null from diffuse expression in complex biomarker panels.
Achieve higher reproducibility, secure patient sample verification, and access seamless automated scoring algorithms. Located at Helix Park, Houston TX.