Here's an overview of our capabilities of software solutions in microfluidics services:
Design and Simulation
Design Software: Tools for designing microfluidic devices, including the layout of channels, chambers, and valves. This allows researchers to create and modify microfluidic chip designs, simulate fluid dynamics, and optimize device performance.
Simulation Software: Tools for simulating the behavior of fluids within microfluidic devices and these provide simulations of fluid flow, particle transport, and chemical reactions, helping to predict performance before physical fabrication.
Device Control and Automation
Hardware Integration: Software for controlling microfluidic devices, such as pumps, valves, and sensors and can interface with hardware to automate fluid handling tasks, such as fluid mixing, dispensing, and switching.
Control Software: Software for programming and managing the operation of microfluidic systems, which allow users to define and execute complex fluidic protocols, adjust flow rates, and synchronize multiple components.
Data Acquisition and Analysis
Data Acquisition: Software tools for collecting data from experiments conducted using microfluidic devices, which helps in capture and record experimental data, such as fluorescence images, concentration measurements, and pressure readings.
Data Analysis: Tools for analyzing the data obtained from microfluidic experiments and can process and analyze data, perform statistical analysis, and visualize results to interpret experimental outcomes.
Workflow Management
Laboratory Information Management Systems (LIMS): Software for managing laboratory workflows, tracking samples, and integrating with microfluidic systems, which helps in coordinate sample tracking, data management, and integration with automated microfluidic systems to streamline workflows.
Protocol Management: Tools for managing and automating experimental protocols and helps to store, retrieve, and execute experimental protocols, ensuring consistency and reproducibility in microfluidic experiments.
Integration with Other Systems
Cloud-Based Platforms: Software solutions that facilitate remote access, data sharing, and collaboration which helps in providing cloud-based environments for sharing experimental data, protocols, and designs, allowing for collaboration across different locations.
IoT Integration: Integration of Internet of Things (IoT) technologies for real-time monitoring and control of microfluidic devices and help to enable real-time monitoring of experiments, remote control of microfluidic systems, and data collection via IoT sensors.
Customization and Scalability
Custom Software Solutions: Tailored software solutions to meet specific needs in microfluidic research and development providing specialized functionality for unique experimental setups, device configurations, or research requirements.
Scalability: Software solutions designed to scale with increasing complexity or volume of experiments which support scaling from small-scale laboratory experiments to high-throughput screening and industrial applications.