Advancing Mycology Through Holographic Flow Cytometry
Revolutionary liquid culture analysis with mobile app integration for mycological research and applications
Learn MoreAbout MycoCam
MycoCam is pioneering the application of lens-free computational microscopy technology specifically for mycological research. Based on proven digital holography principles, our innovative approach enables detailed analysis of fungal cultures in liquid media, providing unprecedented insights into mycelial growth, spore characteristics, and culture dynamics.
By adapting advanced imaging flow cytometry techniques to the unique challenges of mycology, we deliver tools that help researchers, cultivators, and industry professionals optimize their mycological processes with precision and efficiency. Our technology is built on extensive research and validation across multiple applications, supported by advanced machine learning algorithms for automated analysis. The inline tubular form factor enables seamless integration into existing liquid culture systems for continuous monitoring, while Bluetooth connectivity provides mobile app access for real-time data visualization and cloud synchronization.
Our Technology
Lens-Free Digital Holography
Records diffraction patterns directly on digital sensors without lenses, then computationally reconstructs 3D images with depth resolution. This eliminates expensive optics while maintaining high performance.
High-Resolution Imaging
Achieves ~1 micron resolution with a large field of view (>20mm²), capturing detailed morphological information of spores, hyphae, and mycelial networks in a single analysis.
Compact Laboratory Platform
Compact, lightweight system (<1kg) designed for laboratory integration, enabling real-time analysis of fungal cultures without requiring specialized facilities.
Inline Form Factor
Tubular design enables direct integration into existing liquid culture systems and bioreactor setups, allowing continuous monitoring without disrupting cultivation workflows.
Wireless Connectivity
Bluetooth-enabled system pairs seamlessly with iPhone and Android apps for real-time monitoring, data visualization, and cloud synchronization from anywhere in the laboratory.
Continuous Monitoring
24/7 automated analysis provides uninterrupted surveillance of culture health, growth dynamics, and contamination status, enabling proactive intervention before issues impact yield.
Applications
Contamination Detection
Automated identification of bacterial and fungal contaminants in liquid cultures, enabling early intervention and prevention of culture loss through real-time monitoring.
Growth Phase Monitoring
Real-time tracking of mycelial development stages from spore germination through mature network formation, providing precise timing for process optimization.
Spore Viability Analysis
Detailed morphological assessment of spore characteristics and viability indicators, supporting strain selection and cultivation optimization for maximum yield.
Culture Health Metrics
Quantitative indicators of culture vitality including growth rates, morphological consistency, and population distribution, enabling data-driven culture management.
Research & Development
Accelerate mycological research with detailed quantitative analysis of fungal growth patterns, morphology, and culture optimization for new strain development.
Biotechnology Applications
Support fungal biotechnology applications including enzyme production optimization, pharmaceutical compound screening, and bio-remediation efficiency monitoring.
Data & Analytics
AI-Powered Pattern Recognition
Advanced convolutional neural networks trained on extensive fungal morphology databases enable automated identification and classification of mycelial structures, spores, and growth patterns with high accuracy.
Automated Growth Stage Classification
Machine learning algorithms automatically identify and track different stages of fungal development, from germination to mature mycelial networks, providing real-time insights into culture progression.
Statistical Population Analysis
Comprehensive statistical analysis of fungal populations provides quantitative metrics on culture health, growth rates, and morphological distributions, enabling data-driven decision making.
Predictive Culture Analytics
Deep learning models analyze historical and real-time data to predict culture outcomes, identify potential issues before they impact yield, and recommend optimization strategies.
Pathogen Detection Capability
AI models are trained to recognize common unwanted microorganisms including bacterial contaminants, competing fungi, and other pathogens that can compromise culture health and yield.
Advantages Over Traditional Methods
Cost-Effective
Eliminates expensive optics and complex mechanical systems, reducing both initial investment and ongoing maintenance costs while maintaining laboratory-quality performance.
Compact & Laboratory-Ready
Compact, lightweight design enables deployment in cultivation facilities and laboratory environments without requiring specialized infrastructure.
Inline Integration
Tubular form factor enables seamless integration into existing liquid culture systems, providing continuous monitoring without requiring separate sampling procedures or additional laboratory space.
Automated Analysis
Reduces manual analysis requirements and subjective interpretation through AI-powered automated classification, providing consistent, objective results across operators.
Comprehensive 3D Imaging
Depth-resolved volumetric imaging captures complete morphological information, overcoming limitations of 2D microscopy and providing more detailed biological insights.
High Throughput
Rapid processing of large sample volumes enables statistical analysis of entire culture populations rather than limited sampling, improving data reliability.
Real-Time Results
Immediate analysis and reporting enable timely decision making for culture management, reducing response time for contamination detection and process optimization.
Mobile Monitoring
Bluetooth connectivity and dedicated mobile apps enable real-time culture monitoring from smartphones, with automatic cloud backup and remote access to critical data.
Technical Specifications
Imaging Performance
- Resolution: ~1 micron
- Field of View: >20mm²
- Depth Resolution: 3D volumetric imaging
- Color Imaging: Supported
Processing Capabilities
- Sample Throughput: ~100ml/hour
- Analysis Speed: Real-time processing
- Object Detection: Automated classification
- Data Output: Quantitative metrics
System Requirements
- Weight: <1kg
- Portability: Laboratory-ready
- Power: Low consumption
- Maintenance: Minimal
Form Factor
- Design: Inline tubular configuration
- Integration: Direct bioreactor connection
- Footprint: Minimal laboratory space
- Installation: Simple retrofit capability
Connectivity
- Wireless: Bluetooth 5.0
- Mobile Apps: iPhone & Android compatible
- Data Sync: Local and cloud storage
- Remote Access: Real-time monitoring
Analysis Parameters
- Morphology: Shape, size, structure
- Viability: Health indicators
- Growth Stage: Development tracking
- Contamination: Automated detection
Contact Us
Get In Touch
Interested in learning more about MycoCam's mycological flow cytometry solutions?
Email: info@myco.cam
Website: myco.cam