Reliable Quantification from Preclinical Imaging Data
Quantitative image analysis transforms raw digital images from preclinical studies into objective, reproducible measurements essential for drug development and biomarker discovery. Our service covers the full workflow from image acquisition support through preprocessing, segmentation, feature extraction, and statistical analysis, delivering validated imaging biomarkers for pharmacokinetic (PK), pharmacodynamic (PD), and dosimetry studies.
We work with a wide range of preclinical imaging modalities—including PET, SPECT, CT, MRI, and optical imaging—and employ both established software platforms (Imalytics, 3DSlicer, Osirix, QuPath, FIJI) and custom algorithms tailored to your study endpoints. Our team collaborates with you to define endpoints, select appropriate analysis strategies, and ensure data quality and reproducibility following industry standards.
Whether your focus is oncology, neurology, or cardiovascular disease, quantitative metrics such as standardized uptake value (SUV), tumor volume, perfusion, and texture parameters can be extracted and reported in a format ready for downstream modeling and regulatory submission. Each project is scoped individually to match your specific imaging protocol, sample size, and analysis depth.
Service Capabilities
Multi-Modality Preprocessing
Standardized noise reduction, intensity normalization, and motion correction for PET, SPECT, CT, MRI, and optical images, ensuring comparability across subjects and time points.
Segmentation & ROI Delineation
Manual, semi-automated, and automated segmentation of organs, tumors, and regions of interest using validated algorithms; output includes binary masks and volumetric measurements.
Feature Extraction & Biomarker Quantification
Extraction of morphological (volume, shape), intensity (SUVmean, SUVmax, TBR), and texture features; calculation of imaging biomarkers appropriate for PK/PD and dosimetry modeling.
Custom Algorithm Development
Development of bespoke image processing pipelines and quantification methods to address specific scientific questions or unconventional imaging protocols.
Project Workflow
Typical Deliverables
| Deliverable | Description |
|---|---|
| Final Report | Summarizes study design, analysis methods, results tables, and key figures (e.g., SUV maps, volume bar charts, time–activity curves). |
| Raw Data Files | Exported numerical data per ROI (e.g., SUVmean, SUVmax, total volume, texture features) in CSV or Excel format for further modeling. |
| Segmentation Masks | Binary mask files (NIfTI, DICOM) of delineated ROIs for audit or re-analysis. |
| Quality Control Documentation | Log of preprocessing steps, rejected images, and QC metrics to ensure reproducibility and traceability. |
| Custom Algorithm Code | If developed, documented scripts or plugin code (e.g., Python, MATLAB) for internal use. |
Why Choose Our Quantitative Image Analysis Service
End-to-End Scientific Partnership
We engage from study design to final report, advising on imaging endpoint selection, sample size, and analysis strategies to maximize the value of your imaging data.
Flexible Software & Algorithm Portfolio
Our toolkit includes commercial (Imalytics, Osirix), open-source (3DSlicer, QuPath, FIJI), and proprietary software, enabling customized solutions for any preclinical modality.
Validated Quality Control Framework
Each project follows predefined QC steps to identify motion artifacts, partial volume effects, and intensity drift; only analyzable images proceed to quantification, ensuring data integrity.
Regulatory-Compliant Reporting
Deliverables are structured to support regulatory submissions (IND/NDA) and can be adapted to specific authority requirements upon request.
Further Reading
Ready to Quantify Your Preclinical Imaging Data?
Contact our scientific team to discuss your study endpoints, imaging modality, and analysis requirements. We will provide a project scoping and timeline tailored to your needs.