Foreword
Following the Synthetic Biology Leadership Excellence Accelerator Program (LEAP) showcase, I met with fellows Mackenzie Cowell, cofounder of DIYbio.org, and Edward Perello, cofounder of Desktop Genetics. Mac and Eddy both wanted to know what processes in laboratory research are inefficient, and how do we eliminate or optimize them? Pairing software developers and hardware engineers with biologists in academic labs or biotech companies to engineer small fixes will result in monumental increases in research productivity.
An example of an inefficient lab process that has yet to be automated is fruit fly manipulation. Drosophila handling and maintenance is laborious, and Dave and Matt Zucker from Flysorter are developing a technology to automate these manual tasks. This technology uses computer vision and machine learning software to do so. They are currently engineering prototypes, and this is a challenging problem to solve, but this is a perfect of example of engineers developing a technology to automate a completely manual and extremely tedious laboratory task. Check them out, and stay tuned for an article from them in the October issue of BioCoder.
This issue of BioCoder highlights a few examples of collaborations between individuals with complementary expertise to provide solutions for problems across diverse areas of biological research. Biomeme is a smartphone-based diagnostic for the on-site detection of DNA. ABioBot is a smart robot, using vision, ...
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