AI Image Analysis

Offering machine learning image processing and analytics for all imaging modalities. Transform your images into drug development insights.

Tablet

Digital Transformation with Image Segmentation

At digiM, we specialize in transforming complex imaging data into actionable insights. Whether you're working with micro-CT, SEM, optical microscopy, or polarized light microscopy, our advanced image analysis workflows are built to extract critical structural, spatial, and quantitative information from your data. Backed by decades of experience in pharmaceutical, materials science, and life science applications, we support clients by delivering high-quality, filing-ready results and enabling deeper understanding through imaging. In addition to drug products, we support analysis of tissue and clinical imaging data, such as MRI and CT, enabling anatomically accurate meshes for drug delivery modeling.

Before
After

Image segmentation is the foundation of our analysis — classifying meaningful features to quantify components, structures, and regions of interest. Using our custom tools, we segment complex images into clean, analyzable parts with precision. The before-and-after slider below shows how we isolate key features in an X-ray micro-CT scan of a spray dried dispersion, revealing detailed analysis of properties like pore size, wall thickness, and particle morphology.

Thresholding

Machine Learning

Deep Learning

Fast and effective for high-contrast data, thresholding offers simple yet powerful classification based on grayscale values.

Our supervised machine learning methods leverage expert-labeled data to deliver accurate, reproducible segmentations across diverse sample types.

For the most complex images, our deep learning models handle low-contrast, noisy, or irregular data, achieving human-like precision.

AI Image Analysis

From Image to Quantification

Powered by digiM I2S, our analytical services can help transform your real world sample into a digital dataset with quantifiable insights. These digital twins support research and development through a detailed understanding of microstructure and drug product quality. Direct from the imaging data, we extract important attributes which are difficult or impossible to extract with routine analytical measurements.

Common quantifications include:

  • Content uniformity and spatial distribution
  • Coating thickness
  • Particle size, surface area, and shape
  • Ingredient specific porosity analysis
  • Particle surface area

An image showcasing the measurement of coating thickness on an extended release Venlafaxine coated bead formulation.
AI Image Analysis

Let’s Analyze Your Images

Looking to turn your imaging data into insights? digiM offers image analysis as a service—just send us your scans, and we’ll take care of the rest. Our team works as an extension of your lab, delivering rapid, customized analysis with full documentation and support. Whether it’s a single study or ongoing projects, we’re ready to help you unlock the full potential of your images. Contact us today to get started.

A 3D render of a spray dried dispersion particle batch segmented and quantified from X-ray micro-CT scan
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Transform Your Program with Microstructure Science

Get started with a drug product digital twin.