Fluidic Discovery Engines

Flexible, scalable, high-throughput platforms built on microfluidics and AI

 

We have been developing future-proof microfluidics platforms by combining the top-notch technologies of our age. Microfluidics, lab automation, machine learning-aided image analysis, data intelligence, and non-mammalian model systems are some of the powerful components that we have mastered to evolve with the demands of a rapidly changing world.

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Why Microfluidics?

 

The science and engineering of “hard-to-see” fluid processes. We design and fabricate miniature devices to perform tasks that otherwise require large amounts of samples and large machines occupying large amounts of space using vast amounts of energy. Imagine that a single thumb-size microfluidic chip can host as much experimental power as a whole mammalian facility. Imagine that one needs a thousand times less expensive experimental drug or innovative food ingredient in the product development phase. The size is microscopic, the effect is astronomical!

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Why Machine learning?

 
 

We are building microfluidic computers. NemaLife already performs thousands of precise, repeatable experiments every day. This throughput requires an elastic and built-to-scale data pipeline that allows us to record, annotate, analyze, and interpret a vast amount of experimental data. We use Cloud-based AI computing to process the millions of images we record daily. We then extract quantitative data and build relational databases to provide industry-specific insights.

Why Nematodes?

 
 

C. elegans is an established model organism for biological research, disease modeling, and drug discovery. We at NemaLife know how laborious it can be to conduct whole-life assays and screening with C. elegans. Relying on our in-house microfluidics fabrication plant with funding from NIH, NSF, and NASA, we developed our patented core technology that offers unique benefits compared to agar, microplate, and even other microfluidics-based technologies.

Data bank building could come here