Topic description and stories

From microscopic cells to massive galaxies, imaging is a core tool for many research fields today, and it’s also the basis of a surge in recent technical developments – some of which are being pioneered in Cambridge.

Holographic replay field results of 3D LiDAR processed data sets. LiDAR truck and tree objects are displayed.

360-degree head-up display view could warn drivers of road obstacles in real time

20 Dec 2023

Researchers have developed an augmented reality head-up display that could improve road safety by displaying potential hazards as high-resolution...

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Bismuth oxyiodide crystals

Sustainable solar cell material shown to be highly promising for medical imaging

10 May 2023

Using X-rays to see inside the human body has revolutionised non-invasive medical diagnostics. However, the dose of X-rays required for imaging is...

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‘Fruitcake’ structure observed in organic polymers

02 Jun 2022

Researchers have analysed the properties of an organic polymer with potential applications in flexible electronics and uncovered variations in...

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Bone cancer cell (nucleus in light blue)

Cambridge spin-out receives European Innovation Council grant to develop cancer imaging technologies

21 Feb 2022

Spin-off company Cambridge Raman Imaging Ltd. and the Cambridge Graphene Centre will lead ‘CHARM’ project, recently awarded with €3.2 million

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Nano camera

Nano ‘camera’ made using molecular glue allows real-time monitoring of chemical reactions

02 Sep 2021

Researchers have made a tiny camera, held together with ‘molecular glue’ that allows them to observe chemical reactions in real time.

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3D holographic head-up display could improve road safety

26 Apr 2021

Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles. Tests on a prototype version of the...

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Illustration of graphene structure

Following atoms in real time could lead to better materials design

12 Apr 2021

Researchers have used a technique similar to MRI to follow the movement of individual atoms in real time as they cluster together to form two-...

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Novel Coronavirus SARS-CoV-2

Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use

15 Mar 2021

Systematic review finds that machine learning models for detecting and diagnosing COVID-19 from medical images have major flaws and biases, making...

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Image showing individual and combined scans

‘Virtual biopsies’ could replace tissue biopsies in future thanks to technique developed by Cambridge scientists

06 Jan 2021

A new advanced computing technique using routine medical scans to enable doctors to take fewer, more accurate tumour biopsies, has been developed by...

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Inducing lysosome motion with light leads to a rapid and significant extension of ER network.

Driving force behind cellular ‘protein factories’ could have implications for neurodegenerative disease

16 Dec 2020

Researchers have identified the driving force behind a cellular process linked to neurodegenerative disorders such as Parkinson’s and motor neurone...

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Dr Raj Jena and Yvonne Rimmer look at scans

AI could help cut waiting times for cancer by automating mark-up of patient scans prior to radiotherapy

16 Dec 2020

Doctors at Addenbrooke’s Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy...

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DBScan analysis being performed a mature neuron in a typical vLUME workspace.

New virtual reality software allows scientists to ‘walk’ inside cells

12 Oct 2020

Virtual reality software which allows researchers to ‘walk’ inside and analyse individual cells could be used to understand fundamental problems in...

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