As a way to grow diagnostic reagents from anywhere around the world, synthetic biology should allow for a proliferation of DIY viral testing. Yet the potential of synthetic biology remains locked behind complex lab protocols and largely restricted to highly specialized research fields. While the key to its potential, small DNA pieces known as plasmids, can easily travel around the world, the knowledge required to use them fails to do the same.
Synplifier allows scientists to translate production protocols into robust and user friendly walkthroughs. Think of it as a compiler for synthetic biology protocols-- going first from an academic lab protocol to standardized commands, and from standardized commands to a step-by-step breakdown. This simplification process relies on the modular nature of synthetic biology protocols. Essential protocols in synthetic biology-- growing, transforming, and inducing bacteria--are not difficult operations. At the most granular level, much can be reduced to the simple transfer of liquids or raising and lowering temperatures.
How we built it
Challenges we ran into
One challenging part of the experience was integrating the logic into an effective visualization. Our initial goal was to create a scaffold for building AR walkthroughs in EchoAR, but we ultimately pulled away from its exciting possibilities to focus on the core product-- the simplification process itself.
What we learned
Throughout the process, we were able to dive into the construction of knowledge systems and human computer interaction. We also obtained a greater understanding of synthetic biology and LAMP-DETECTR procedures through writing functions to formalize their specifications. And we learned about styling pages, and using libraries such as Bootstrap.
What’s next for Synplifier
We see Synplifier as a very strong proof of concept for a healthtech breakthrough. As of now, Synplifier is effective in providing archetypal 2-dimensional visualizations of lab procedures, with a limited range of flexibility. We hope to increase its functionalities greatly moving forward and get user feedback from both the scientific community and other interested parties. We also hope to look further into distributed diagnostics and how Synplifier might work in conjunction with labs to reach vulnerable and at-risk communities.