Imperial College London

Professor Kitney

Faculty of EngineeringDepartment of Bioengineering

Professor of BioMedical Systems Engineering



+44 (0)20 7594 6226r.kitney Website




Ms Tania Briggs +44 (0)20 7594 6226




3.16Royal School of MinesSouth Kensington Campus






BibTex format

author = {Sainz, de Murieta I and Bultelle, M and Kitney, RI},
doi = {10.1021/acssynbio.5b00222},
journal = {ACS Synthetic Biology},
pages = {817--826},
title = {Toward the first data acquisition standard in synthetic biology},
url = {},
volume = {5},
year = {2016}

RIS format (EndNote, RefMan)

AB - This paper describes the development of a new data acquisition standard for synthetic biology. This comprises the creation of a methodology that is designed to capture all the data, metadata, and protocol information associated with biopart characterization experiments. The new standard, called DICOM-SB, is based on the highly successful Digital Imaging and Communications in Medicine (DICOM) standard in medicine. A data model is described which has been specifically developed for synthetic biology. The model is a modular, extensible data model for the experimental process, which can optimize data storage for large amounts of data. DICOM-SB also includes services orientated toward the automatic exchange of data and information between modalities and repositories. DICOM-SB has been developed in the context of systematic design in synthetic biology, which is based on the engineering principles of modularity, standardization, and characterization. The systematic design approach utilizes the design, build, test, and learn design cycle paradigm. DICOM-SB has been designed to be compatible with and complementary to other standards in synthetic biology, including SBOL. In this regard, the software provides effective interoperability. The new standard has been tested by experiments and data exchange between Nanyang Technological University in Singapore and Imperial College London.
AU - Sainz,de Murieta I
AU - Bultelle,M
AU - Kitney,RI
DO - 10.1021/acssynbio.5b00222
EP - 826
PY - 2016///
SN - 2161-5063
SP - 817
TI - Toward the first data acquisition standard in synthetic biology
T2 - ACS Synthetic Biology
UR -
UR -
VL - 5
ER -