High-content imaging (HCI) is a screening technique essential for evaluating thousands of treatment conditions, using automated microscopy and advanced analysis to extract multiparametric data from complex biological samples. However, researchers often face challenges such as image variability, noise, and the complexity of data processing, which can hinder assay robustness and reproducibility.

In this webinar, discover how artificial intelligence (AI) is transforming image and data analysis in HCI workflows. Learn how IN Carta® Image Analysis Software empowers scientists to overcome common imaging challenges by automating complex analysis tasks—without requiring programming or data science expertise.

Dr. Misha Bashkurov will demonstrate how AI-driven tools can streamline assay development, improve image analysis, and extract deeper biological insights from large datasets. Whether you're optimizing phenotypic screens or working with patient-derived models, this session will demonstrate how integrating AI into your HCI pipelines can boost data accuracy and accelerate discovery.

Learning objectives

• Gain a comprehensive understanding of artificial intelligence in high-content imaging, including its core concepts such as machine learning and neural networks.
• Learn how IN Carta® SINAP can enhance specificity of your image analysis workflows through training of custom deep learning models.
• Discover how IN Carta® Phenoglyphs™ facilitate multi-parametric data analysis for identifying and quantifying phenotypic changes.
• Explore the application of SINAP and Phenoglyphs modules to generate accurate outcomes from complex datasets, without requiring expertise in data science.

Bio

• Dr. Misha Bashkurov
• National Sales Manager for Cellular Workflow Automation.
• Dr. Bashkurov approaches artificial intelligence (AI) with realistic optimism—balancing its transformative potential with an understanding of its current limitations. As a key contributor to the development of IN Carta® Image Analysis Software, Dr. Bashkurov ensures it continually evolves to meet the needs of modern researchers. In this webinar, From Image to Insight: Using Machine Learning Tools for Smarter Analysis in High-Content Screening, he will explore how AI is fundamentally reshaping how scientists interact with and interpret complex image-based data.