Citizen Science/Open Colony Counter Project: Difference between revisions
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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 | ||
Revision as of 09:58, 1 August 2010
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Driving forces:
Team:
|
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