Fluorescent Robotic Imager
Fluorescent Robotic Imager automates imaging and classification of protein crystals in multi-well crystallization experiments to support screening for protein crystallography.
Key Features:
- Cost Efficiency: Developed at approximately 28 times lower cost than existing market solutions.
- Automation: Automates capture of images using both standard and fluorescent imaging techniques and performs classification of protein crystals.
- 3D Printing Base: Utilizes a Panowin F1 3D printer as the structural foundation of the instrument.
- Software Integration: Operated via G-code commands generated by a Python script running on a desktop computer for precise control.
- Fluorescent Imaging Optics: Incorporates a 488 nm laser diode paired with a 525 nm filter for in situ fluorescent imaging of proteins tagged with Alexa Fluor 488.
Scientific Applications:
- Protein Crystallography Screening: Supports screening of crystallization trials to determine optimal conditions for protein crystallization.
- Expanded Imaging Modalities: Enables both standard and fluorescent imaging to broaden analysis of protein samples, including visualization of Alexa Fluor 488–tagged proteins.
Methodology:
G-code commands are generated by a Python script on a desktop computer to control the imaging hardware.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- desktop application
- Programming Languages:
- Python
- Added:
- 1/14/2020
- Last Updated:
- 12/29/2020
Operations
Publications
Handzlik D, Larson ET, Munschy E, Obmolova G, Collin D, Craig TK. Inexpensive robotic system for standard and fluorescent imaging of protein crystals. Acta Crystallographica Section F Structural Biology Communications. 2019;75(11):673-686. doi:10.1107/s2053230x19014730. PMID:31702581. PMCID:PMC6839817.
PMID: 31702581