imaginX is used by many amazing schools and universities

University / College

Learning Objectives

At the end of this simulation, you will be able to:

Use chromatography techniques in simulations to purify proteins, learning the key factors that affect efficiency and yield.
Learn to interpret experimental data on protein structure, stability, and functional properties.
Use interactive lessons to explore enzyme kinetics, reaction rates, and substrate interactions in a dynamic XR environment.
Conduct virtual experiments to design proteins with specific characteristics, such as increased stability or altered activity.
Study protein folding mechanisms and understand the impact of misfolding on biochemical functions and stability.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Relevant Course Packages All Course Packages →

Robotics and Automation Simulation

Robotics and Automation Simulation course allows students to explore the principles of robotics and automation in industrial settings. Through interactive XR simulations, students can program robotic arms, manipulators, and other equipment to perform tasks such as welding, assembly, and material handling. Real-time feedback on performance, efficiency, and safety ensures a hands-on, engaging learning experience, preparing students for real-world automation challenges.

Failure Mode and Effects Analysis (FMEA) Simulation

Gain expertise in Failure Mode and Effects Analysis (FMEA) through immersive XR simulations. Learn to systematically identify, assess, and mitigate potential failure points in semiconductor manufacturing processes to enhance reliability and quality.

Signal Processing and Filtering Techniques

The Signal Processing and Filtering Techniques module provides virtual tools and interactive exercises to teach students how to process and analyze electrical signals using both digital and analog filtering methods. Through hands-on simulations, students explore signal conditioning, transformation, and noise reduction techniques.

Risk Assessment and Disaster Management

Train students in assessing risks and developing disaster management strategies for civil engineering projects. Engage with virtual scenarios simulating the impact of natural disasters like floods, landslides, and earthquakes on infrastructure. Learn how to create emergency response plans, implement risk mitigation measures, and develop post-disaster recovery strategies. Receive feedback on disaster preparedness, risk management techniques, and building resilience in infrastructure.

CNC Machine Programming and Operation

CNC Machine Programming and Operation trains students on Computer Numerical Control (CNC) machines, essential in modern manufacturing for automated machining. Students will virtually program CNC machines to cut, mill, or shape materials according to specific designs, and simulate the generation and execution of G-code. The course includes 3D visualization of machining paths, with real-time feedback on tool wear, precision, and cycle times to optimize machining processes.

Material Science and Mechanical Properties Analysis

Introduce students to material properties, testing methods, and their applications in mechanical engineering through XR simulations. Students will engage in virtual material testing labs where they perform various tests such as tensile tests, hardness tests, impact tests, and fatigue analysis. The simulation includes interactive lessons on material properties like strength, ductility, toughness, and elasticity. Real-time feedback will help students understand material selection, suitability for specific applications, and how to optimize design for enhanced performance.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.