CyberSco

CyberSco performs automated, event-driven timelapse fluorescence microscopy by integrating real-time image analysis and unsupervised decision-making to adapt imaging parameters and device status for quantitative cell biology experiments.

Key Features:

• Real-time image analysis: Performs live analysis of fluorescence images to inform acquisition decisions during experiments.
• Unsupervised decision-making: Implements unsupervised decision-making algorithms that trigger autonomous changes in acquisition behavior.
• Conditional/event-based acquisition: Automates acquisition by applying user-defined conditions that modify imaging parameters or device status when met.
• Instrument integration: Integrates image analysis with microscope control to convert microscopes into responsive measurement devices.
• Support for timelapse experiments: Provides tunability and flexibility for a wide range of fluorescence timelapse microscopy experiments.

Scientific Applications:

• Quantitative cell biology timelapse studies: Enhances the informativeness and efficiency of quantitative timelapse fluorescence microscopy experiments.
• Dynamic cellular process monitoring: Enables adaptive imaging conditions in real time to study dynamic cellular events and responses.
• Model organism experimentation: Has been demonstrated as a proof of principle in budding yeast experiments.

Methodology:

Combines advanced image processing techniques and real-time fluorescence image analysis with automation protocols and unsupervised decision-making algorithms to adapt acquisition parameters and device status as new data are acquired.