We perform fundamental optical physics and materials research. This is critical for the discovery and development of new and improved optoelectronic technologies.

Vision, Learning and Control

Our work covers a range of technological areas from control, to machine learning and computer vision.

Research outputs

Lensless imaging of pollen grains at three-wavelengths using deep learning

James Grant-Jacob,

Matthew Praeger,

Matthew Loxham,

R.W. Eason,

& Benjamin Mills

, 2020 , Environmental Research Communications , 2 (7)

DOI: 10.1088/2515-7620/aba6d1

Type: article

Modelling laser machining of nickel with spatially shaped three pulse sequences using deep learning

Michael, David Tom McDonnell,

James Grant-Jacob,

Yunhui Xie,

Matthew Praeger,

Benita, Scout MacKay,

R.W. Eason,

& Benjamin Mills

, 2020 , Optics Express , 28 (10) , 14627--14637

DOI: 10.1364/OE.381421

Type: article

Modeling adult skeletal stem cell response to laser-machined topographies through deep learning

Benita Scout MacKay,

Matthew Praeger,

James Grant-Jacob,

Janos Kanczler,

Robert Eason,

Richard Oreffo,

& Benjamin Mills

, 2020 , Tissue and Cell , 67

DOI: 10.1016/j.tice.2020.101442

Type: article

Laser-induced backward transfer of monolayer graphene

Matthew Praeger,

Symeon Papazoglou,

Amaia Pesquera,

Amaia Zurutuza,

Adi Levi,

Doron Naveh,

Ioanna Zergioti,

Robert W. Eason,

& Benjamin Mills

, 2020 , Applied Surface Science , 533

DOI: 10.1016/j.apsusc.2020.147488

Type: article

Automated 3D labelling of fibroblasts and endothelial cells in SEM-imaged placenta using deep learning

Benita MacKay,

Sophie Blundell,

Olivia Etter,

Yunhui Xie,

Michael, David Tom McDonnell,

Matthew Praeger,

James Grant-Jacob,

R.W. Eason,

Rohan Lewis,

& Benjamin Mills

, 2020

DOI: 10.5220/0008949700460053

Type: conference