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Scaling Preclinical Imaging Through Quantitative Analysis

Raw imaging data rarely yields biological answers on its own. As drug development demands higher precision, researchers are turning to standardized quantitative workflows to translate preclinical signals into reliable endpoints for regulatory decision-making and human dose estimation.

Bio & NewsAugust 4, 2026300 reads0

Keryn Gresco, Director of Image Analysis and Software Platforms at Perceptive Discovery, will lead a technical deep dive into these methodologies during an upcoming webinar on August 26, 2026. The session addresses the transition from simple image capture to rigorous data quantification, focusing on the essential role of segmentation, biodistribution modeling, and dosimetry in modern research.

Participants will examine how standardized analytical approaches mitigate variability in drug development programs. A specific focus remains on oncology and radioligand therapy, where precise time-activity curve generation and OLINDA-based calculations are vital for defensible results. By refining these workflows, laboratories aim to strengthen human dose predictions and accelerate the path from bench to clinical application.

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