Life Science Automation

Identifying Unknown Kinematics from a Discrete Set of Candidate Models by Using Collision Detection

Many robots are composed of interchangeable modular components, each of which can be independently controlled, and collectively can be disassembled and reassembled into new configurations. When assembling these modules into an open kinematic chain, there are some discrete choices dictated by the module geometry; for example, the order in which the modules are placed, the axis of rotation of each module with respect to the previous module, and/or the overall shape of the assembled robot.

Project Status: 

Active

Category: 

Automation for Electron Cryomicroscopy

The preparation of specimens for cryo-electron microscopy is currently a labor and time intensive process, and the quality of resulting samples is highly dependent on both environmental and procedural factors. Specimens must be applied to sample grids in a high-humidity environment, frozen in liquid ethane, and stored in liquid nitrogen. The complexity of the process and limited operational scope of current equiment necessitates the need for highly trained personnel to prepare samples.

 

Project Status: 

Inactive

Category: 

Subscribe to RSS - Life Science Automation