£2m for UK-Japan team to create an energy boost for synthetic cells
A new research collaboration aims to enhance synthetic cell regenerative therapies, clear up pollution and produce foods, fuels and bioplastics.
Imperial-led project to develop global standards for biofoundry development
Funding from the US National Science Foundation Global Centers programme will support work at Imperial to improve biofoundry development.
Visualizing molecular engineering
Imperial researchers share their best images featuring the field of molecular science and engineering for IMSE's image competition
Institute for Molecular Science and Engineering (IMSE) Research Showcase 2024
IMSE showcased how integrating expertise across diverse academic disciplines and with external stakeholders helps solve grand challenges.
Business invited to make the most of Imperial’s research facilities
When not being used for academic research or teaching Imperial’s science and engineering facilities are available to outside users.
Cellular factories - Engineering biology symposium and IMSE Annual Lecture
IMSE welcomed researchers in the field of Engineering Biology for an engaging symposium which concluded with Prof. Kristala Prather keynote lecture
US health research agency ARPA-H sets out funding vision during Imperial visit
The US government biomedical and health research funding agency set out its vision during a visit to Imperial's White City Deep Tech Campus.
Plastic-free vegan leather that dyes itself grown from bacteria
Researchers at Imperial College London have genetically engineered bacteria to grow animal- and plastic-free leather that dyes itself.
2
UKRI Engineering Biology Missions award millions in funding to Imperial projects
UKRI has awarded millions in funding for Imperial projects, through their new Engineering Biology Missions.
1
New molecular toolkit boosts useful molecule production from yeast communities
Imperial scientists have built a toolkit to boost yeast’s ability to produce food, materials, and pharmaceuticals by engineering optimal behaviours.
