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.