At Curiosity Labs we are developing a platform that consists of (1) camera-enabled microscope, (2) UI, and (3) customizable computer vision modules. It’s much better than manual microscopes because it is automatic, does not require special training to use, and allows you to gain new capabilities with a software update rather than a physical hire.

Microscopes are typically designed to be expensive R&D grade tools (low throughput). Existing automated microscopes are expensive (>$100K), they are geared towards applications in the biopharmaceutical industry. There is no “flexible” platform that can be applied in a variety of industries, by simply changing a computer vision module rather than rebuilding the hardware form-factor. This is what we are building.

We currently have entire industries (like soil analytics) buying a $300 high school science-class-grade microscope and hiring a tech to do hundreds of samples per day. It’s like using a teaspoon to paddle across the Atlantic....
At Curiosity Labs we are developing a platform that consists of (1) camera-enabled microscope, (2) UI, and (3) customizable computer vision modules. It’s much better than manual microscopes because it is automatic, does not require special training to use, and allows you to gain new capabilities with a software update rather than a physical hire.

Microscopes are typically designed to be expensive R&D grade tools (low throughput). Existing automated microscopes are expensive (>$100K), they are geared towards applications in the biopharmaceutical industry. There is no “flexible” platform that can be applied in a variety of industries, by simply changing a computer vision module rather than rebuilding the hardware form-factor. This is what we are building.

We currently have entire industries (like soil analytics) buying a $300 high school science-class-grade microscope and hiring a tech to do hundreds of samples per day. It’s like using a teaspoon to paddle across the Atlantic. They simply don’t have other options in their price range.

We built a prototype of a $1,000 fully automated microscope that will be deployed at AgSource (Iowa soil analysis lab) in July for the upcoming testing season (Summer/Fall 2020). The platform uses computer vision (AI) to detect a common soybean parasite in soil samples. As we move forward, we will release new computer vision modules (software updates) to detect other soil parasites.

The main “feature” is that eliminating manual labor enables us to passively collect large amounts of consistent data about soil biology. This data can be used by seed development and ag biotech companies (Corteva, Monsanto etc) to develop new chemistry that will increase sustainability of farming and crop yields.
More information

Employees

Denis Tamiev
Admin
Denis Tamiev Founder Scientist and Entrepreneur