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Union Biometrica, Inc. to exhibit at the International Conference on “Plant Genetics and Breeding Technologies” in Vienna, Austria
Working with fragile plant protoplasts has long been a challenge. Union Biometrica has recently demonstrated high speed, gentle sorting of protoplasts. We have successfully used our instruments to sort intact plant protoplasts and encapsulated protoplasts. In addition, our instruments have been used for high-throughput analysis and sorting of pollen, Arabidopsis thaliana seeds and plant cell clusters (calli). Automating these processes offers increased speed, sensitivity, unbiased quantification, and repeatability of experiments.
We also invite you to view the following poster:
New Method for High-Throughput Analysis and Sorting of Plant Protoplast (Abstract ID # 261)
Additional information regarding the meeting is available at:http://www.vipca.at/conferences/active/conference3/index.php
Not attending the meeting? Email our technical team at sales@unionbio.com for a personalized discussion or to arrange a demonstration in your laboratory.
About Union Biometrica, Inc.
Union Biometrica designs and markets tools for high throughput model organism research. We provide Large Particle Flow Cytometers (COPAS™ and BioSorter®) for objects that are too large / too fragile for traditional cytometers and offer an alternative to manual sorting. These systems sort and dispense objects based on size and fluorescent parameters. Automating this process offers increased speed, sensitivity, quantification, and repeatability of experiments. In addition to our COPAS and BioSorter products, we will be offering the VAST BioImager in early 2013 for automated imaging of 2-7 dpf sedated zebrafish larvae.
Peer reviewed journal papers and application notes referencing the sorting of small plant models using our COPAS and BioSorter instruments can be viewed via the links below.
- Arabidopsis:http://www.unionbio.com/publications/publication.aspx?id=36
- Small Plant Models: http://www.unionbio.com/applications/notes.aspx?id=20