StentorCam
StentorCam system based on RoboCam, with well plate support for biological imaging applications
StentorCam is an automated dark-field imaging platform based on the RoboCam system, specifically designed for studying Stentor coeruleus behavior and other biological imaging applications. The system extends RoboCam’s capabilities with well plate support and specialized features for biological research.
Project Overview
StentorCam builds upon the RoboCam foundation to provide:
- Well Plate Support: Automated imaging of samples in standard well plate formats
- Dark-Field Imaging: 3D-printed optics with infrared illumination for enhanced contrast
- Automatic Tracking: Automated tracking and stimulation experiments
- Biological Imaging: Optimized for studying Stentor coeruleus and similar organisms
Key Features
- Well Plate Automation: Support for standard well plate formats for high-throughput imaging
- Dark-Field Optics: 3D-printed optical components with infrared illumination
- Automated Tracking: Automatic organism tracking and behavior analysis
- Stimulation Experiments: Automated stimulation protocols for behavioral studies
- Based on RoboCam: Inherits all RoboCam motion control and camera automation features
Research Applications
StentorCam has been used for:
- NSF-funded training programs
- Team research projects
- Automated behavioral studies
- High-throughput biological imaging
Technical Implementation
StentorCam extends the RoboCam system with:
- Well Plate Support: Custom motion profiles for well plate navigation
- Specialized Optics: Dark-field illumination and infrared imaging capabilities
- Biological Imaging Workflows: Optimized experiment templates for biological research
Repository
The complete source code, documentation, and setup instructions are available in the RoboCam-Suite repository, which includes the StentorCam implementation.