Posters
« Back
Simple Robotic Imager for Multi-well Plates
EP23911
Poster Title: Simple Robotic Imager for Multi-well Plates
Submitted on 30 Mar 2016
Author(s): Michael Zawrotny and Thayumanasamy Somasundaram
Affiliations: Institute of Molecular Biophysics, Florida State University, Tallahassee, FL 32306-4380
This poster was presented at 2016 Pittcon
Poster Views: 966
View poster »


Poster Information
Abstract: Growing crystals of bio-macromolecules suitable for solving the 3-dimensional structure consist of finding a few conditions out of thousands on multi-well plates. This necessitates automated imaging, sorting, and scoring. Available commercial imagers are expensive and feature both proprietary hardware and software that are unsuitable for modifications. We built a simple robotic imager to accomplish these tasks while keeping the cost low, streamlining the design, and using open-source software and some 3-D printed hardware. Our design will allow many structural biology labs to build their own imager rather than depending upon a costly commercial product available only in a Core Facility. The imager’s capabilities can easily be extended to many multi-well platforms and areas such as PCR and cell culture.
Summary: We built our simple robotic imager that is flexible in design, easy to assemble, makes use of low-cost components, with open-source software and hardware. Our design will allow many structural biology labs to build their own imager rather than depending upon a costly commercial product available only in a Core Facility.
Report abuse »
Questions
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters


Functional Assay of Neural Activity with Cell-Based Neural Culture Models and Microelectrode Array Technology for Proconvulsant Risk Assessment in the Neutox Pilot Study
Millard, D.C.; Hayes, H.B.; Nicolini, A.M.; Arrowood, C.A.; Clements, M;

Microstructure Analysis of Cr-Mo-V-W High-Entropy Alloys
Daiki Ikeuchi

Multiplex miRNA Profiling for Biomarker Discovery and Verification Studies Using the FirePlex® Platform
M. Tackett, B. Heinrich, I. Diwan, G. Tejada, C. Rafferty, E. Atabakhsh, and D. Pregibon

PEAKS™ Software for the processing of timsTOF Pro PASEF data: identification and label-free quantitation
Markus Lubeck(1), Heiner Koch(1), Scarlet Beck(1), Paul Savage(2), Oliver Raether(1), Pierre-Olivier Schmit(2) Paul Shan (3) and Gary Kruppa (4)

Platinum™ SuperFi™ DNA Polymerase for the highest success in PCR
Rasa Sukackaitė, Martyna Simutytė, Skaistė Valinskytė, Laurynas Vanagas, Karolis Matjošaitis, Renata Rimšelienė, Remigijus Skirgaila.