Description:
Background
Even though inexpensive methods for microbial characterization exist, they require extensive labor and infrastructure and usually result in a 2-3 day time gap between sample collection and results. Faster methods to quantify microbial concentrations have been developed, but are far too expensive (>$10,000) to be widely deployed and are not portable. 
This technology proposes a novel solution that combines inexpensive components in a carefully engineered design to create a powerful microbial detection tool.
 
Technology Overview
In this invention, the device monitors the concentration of microorganisms in aquatic matrices (i.e., water samples). The device operates autonomously and is controlled by a Raspberry Pi computer installed in the device. This device uses a specialized microscope arrangement to acquire high-contrast and high‑resolution images. A classification algorithm trained with machine learning is used to quantify the concentration of microbes in the sample.
 
Benefits
- Low cost
- High performance
- Automation
- Portability
 
Applications
- Real-time drinking water monitoring
- Real-time bioreactor monitoring
- Autonomous environmental sampling
- Education
 
Opportunity
- License
- Partnering
- Research collaboration
Patent Information:
Category(s):
Software
-Sensors tech
For Information, Contact:
Mark Saulich
Associate Director of Commercialization
Northeastern University
m.saulich@northeastern.edu
Inventors:
Benjamin Gincley
Siraaj Dhru
Zachary Flinkstrom
Hannah Worden
Gabriel Goodman
Kyle Miller
Ameet Pinto
Chinmay Belthangady
Keywords:
Biotech
computer vision and deep learning
Devices
Diagnostics
Environment
Health
Imaging
Microbiology
Microfluidics
Monitoring
Optics
Screening Tool
Water