Hardware, Software, Wetware, Co-Design Research
High level application specifications are automatically converted to hardware to support the functional, structural, and performance requirements of the described application. In CIDAR, this hardware takes the form of custom microfluidic devices that can control, manipulate, and process data for engineered biological systems.
HARDWARE
Hardware
Software
Software tools and algorithms provide mechanisms to map application functionality to biological elements (e.g. compile to DNA). In addition, software can be automatically generated to control microfluidics to meet specific function and performance requirements.
SOFT
WARE
Wetware
Engineered biological building blocks with well characterized performance parameters are the primitives on which CIDAR research designs systems. These elements are explicitly designed to be amendable to high throughput assembly protocols and are stored both virtually and physically using on-line "parts registries".
WET
WARE
Design Automation
Software tools make synthetic biology more effective by integrating concepts from electronic design automation into the specification, design, and assembly of complex biological systems.
Interdisciplinary Approach
CIDAR is composed of a diverse team of undergraduates, graduate students, post-docs, and research staff from a range of programming, engineering and scientific backgrounds.
Mixed Purpose Workspaces
With both Computational and Wetlab facilities, CIDAR has workspaces for software development and biological engineering research across multiple departments at Boston University.
Latest News
Rita Chen begins CELL-MET collaboration
Rita Chen, of the Design, Automation, Manufacturing, and Prototyping (DAMP) Lab, is currently collaborating with Prof. Christopher Chen's Lab for the development of an automated workflow for the iPSC-derived cardiomyocytes culturing and differentiation. The collaboration aims to provide a standardized and high-throughput solution that can be shared among researchers. This project is supported by NSF CELL-MET ECR Project (EEC-1647837). Learn more about the DAMP lab at https://www.damplab.org/.