Хочу отработать теорию на практике
Цифровые симуляторы и лаборатории
Biofabrication Platform
Research environment for conducting virtual laboratory experiments and predicting the survival of biostructures in the process of 3D bioprinting.
The platform helps to:
- predict the viability of 3D organ models;
- conduct visual analysis of model quality prior to bioprinting;
- configure and select optimal parameters for 3D bioprinting;
- develop an ecosystem of digital solutions in the field of 3D bioprinting.
Stages of analysis
- Verifying hypotheses and experimental parameters prior to bioprinting
- Predicting structure survival during bioprinting using proven mathematical models
- Optimizing the process of preparing files, materials, and equipment
- Managing group or individual projects and preparing research for publication
- Mastering the principles of 3D bioprinting and biofabrication in practice
- Completing laboratory and coursework using mathematical prediction models
- Testing 3D models of organs and parameters for bioprinting
- Learning to work with STL, G-code, bioink parameters, and bioprinter settings in a secure digital environment
- Testing new printing modes
- Studying the compatibility of new biomaterials
- Optimizing the technical parameters of 3D bioprinters for customer needs
- Improving the accuracy and reliability of additive technologies
Working with the system
Loading and saving STL and G-code files
Adjusting the scale and proportions of models
Importing bioink parameters and adjusting them manually
Visualizing hypoxia zones and distributing parameters in 3D space
3D visualization
The platform allows you to upload and store files obtained during CT/MRI examinations, as well as use ready-made files that are publicly available.
• Parameter analysis
• Computer-aided design and analysis of layer-by-layer deposition to determine printing speed and path.
• Analysis of cell adaptation in an incubator
• Evaluation of cell spheroid behavior during self-assembly
• Analysis of the cell formation process
• Analysis of the process of strengthening and stabilizing structures;
• Structure quality control
• 3D bioprinter settings management
Parameter analysis
Researchers at the Biofabrica Design Center at Sechenov University have developed a series of mathematical models for predicting the survival of biostructures during the 3D bioprinting process.
Creating and managing group and individual projects
Analyzing and searching for literature on topics of interest
Creating research reports
Publishing scientific papers
Group projects
Biofabrication platform enables joint scientific projects and the development of research competencies in the field of 3D bioprinting.
FAST Sechenov University
Risk reduction and process optimization in 3D bioprinting through analytical tools and expert knowledge
Platform development
Integration of an AI module for searching and analyzing scientific literature
Integration with CT/MRI machines and 3D bioprinters
Control panel for 3D bioprinter settings and print parameters
Expansion of the platform's analytical capabilities
