Citizen Science/Open Colony Counter Project
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===Features=== | ===Features=== | ||
| - | * General | + | * '''General:''' |
| - | ** | + | ** can detect and count microbial colonies |
| - | ** | + | ** accepted plate format: 60-90mm plates or multi-well plate format |
| - | * Image processing- | + | ** desktop device for the wetlab bench |
| - | ** | + | ** requires a PC (windows, osx, or linux) |
| - | * | + | ** lab automation friendly design |
| - | * | + | ** Open Source design |
| + | * '''Available Measurements:''' | ||
| + | ** colony count | ||
| + | ** individual colony properties (size, roundness, position) | ||
| + | ** export in CSV format or local database | ||
| + | ** PDF/HTML report with overlaid image with detection results + colony statistics | ||
| + | * '''Image processing:''' | ||
| + | ** one-step processing for the user | ||
| + | ** colony count in less than 3 seconds. | ||
| + | ** automatic background detection | ||
| + | ** utilizes LED illumination to optimize contrast between colonies and substrate. | ||
| + | ** possible manual colony count editing for improved count. | ||
| + | ** USB Webcam as an image acquisition device | ||
| + | |||
| + | ==Technological stack under investigation:== | ||
* Image acquisition device: USB Webcam-based | * Image acquisition device: USB Webcam-based | ||
| - | * Light | + | * Light source: white LEDs, 470nm LEDs for GFP-like detection |
| - | * Image processing engine: OpenCV library | + | * Image processing engine: OpenCV library |
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Revision as of 12:58, 1 August 2010
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Driving forces:
Team:
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Specifications
Features
- General:
- can detect and count microbial colonies
- accepted plate format: 60-90mm plates or multi-well plate format
- desktop device for the wetlab bench
- requires a PC (windows, osx, or linux)
- lab automation friendly design
- Open Source design
- Available Measurements:
- colony count
- individual colony properties (size, roundness, position)
- export in CSV format or local database
- PDF/HTML report with overlaid image with detection results + colony statistics
- Image processing:
- one-step processing for the user
- colony count in less than 3 seconds.
- automatic background detection
- utilizes LED illumination to optimize contrast between colonies and substrate.
- possible manual colony count editing for improved count.
- USB Webcam as an image acquisition device
Technological stack under investigation:
- Image acquisition device: USB Webcam-based
- Light source: white LEDs, 470nm LEDs for GFP-like detection
- Image processing engine: OpenCV library


