Image-Based Simulations

Model complex drug and material release from 2D or 3D images of real-world samples.

4K microstructure render of a DigiM pharmaceutical sample showing internal phase composition at high resolution
Full field-of-view pharmaceutical tablet microstructure image showing internal phase distribution and pore network
Image-Based Simulations

In Vitro (In Silico) from Real Data

digiM I2S combines real-world imaging with high-throughput virtual experimentation. This new generation In Vitro (In Silico) method REDUCEs the amount of samples for wet lab in vitro testing, REFINEs method development, and REUSEs existing product and clinical knowledge following FDA’s 3Rs Initiative.

digiM I2S drug release simulation visualization showing concentric diffusion patterns from a pharmaceutical sample
Image-Based Simulations

Efficient and Representative Voxel Solver

DigiM I2S numerical solvers are built on segmented images. Pixels and voxels are directly used as computational cells for finite volume CFD or FEA algorithms, eliminating the need for mesh generation or structural simplification techniques. This approach enables fast and accurate calculations of transport and material properties such as phase permeability, mercury intrusion (MICP), material elasticity, conductivity, and more (access to links require digiM I2S registration here ) . Simulations utilizing real image data helps to ensure representativeness and provides a clearer idea of how microstructural properties are impacting performance.

digiM fluid diffusion heatmap showing concentration gradients through a porous pharmaceutical microstructure
Upscaled FIB-SEM image 4 of a pharmaceutical sample showing cross-sectional material phases at nanoscale resolution
Image-Based Simulations

Accelerating Development of Long-Acting Therapies

For pharmaceutical scientists working in long-acting spaces such as injectables and implants, in vitro lab testing can be slow and expensive. digiM offers a suite of simulations tailored to simulate in vitro release of these products using 3D images as inputs. This technique has been applied extensively to implants, microspheres and intrauterine systems helping researchers speed up formulation and manufacturing optimization.

Animated simulation of a controlled release implant predicting API drug release over time
Image-Based Simulations

digiM Simulation Ecosystem

While I2S includes simulations for microstructural physical properties including flow, diffusion, geometrical, mechanical, electrical, and thermal , I2S simulation ecosystem further expands to vertical applications including dissolab for dissolution modeling, ssGAN for microstructure modeling, and more. I2S simulations are not confined to high-performance desktops or sophisticated workflows. I2S simulation ecosystem democratizes predictive modeling for every analytical chemists, formulators, and process engineers with faster, more scalable, and collaborative predictions to accelerate product development.

dissoLab plot comparison chart showing simulated versus experimental dissolution profiles for drug release validation
Upscaled FIB-SEM image 4 of a pharmaceutical sample showing cross-sectional material phases at nanoscale resolution

Transform Your Program with Microstructure Science

Get started with a drug product digital twin.

Purple tablet dispersing into a fine particle cloud, illustrating drug microstructure disintegration
Upscaled FIB-SEM image 4 of a pharmaceutical sample showing cross-sectional material phases at nanoscale resolution
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Bausch Health logo
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Bristol Myers Squibb logo
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Merck logo
Merck logo
Moderna logo
Moderna logo
Novartis logo
Novartis logo
Pfizer logo
Pfizer logo
Johnson & Johnson Innovative Medicine logo
Johnson & Johnson Innovative Medicine logo
Roche logo
Roche logo
Mirati Therapeutics logo
Mirati Therapeutics logo
Genentech logo
Genentech logo
Lonza logo
Lonza logo