Available technologies

Licensing Cambridge innovation

Cambridge Enterprise works in collaboration with University of Cambridge researchers to market and license available technologies ranging from the biosciences to engineering.

We have completed more than 1,000 commercial agreements.

We welcome contact from companies interested in licensing available technologies from the University of Cambridge, and work with companies on an individual basis to identify specific areas of interest.

Image: The chromosome screening technology developed by University of Cambridge spin-out BlueGnome has shown to increase in vitro fertilisation (IVF) success rates by 65% over the current methods.

GreenSwirl software for calculating Green’s function for swirling flow in an infinite duct

Physical Sciences Ref No: Mat-3234-15
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GreenSwirl is a MATLAB program for calculating Green’s function for swirling flow in an infinite duct. The duct can have either hard walls or an acoustic lining, modeled using the Ingard-Myers boundary condition. The mean flow is a function of only radial position, can have shear and swirling components, and can be input as functions or data points. The programme calculates eigenmodes and the Green’s function of the linearised Euler equations. The programme calculates these either numerically (Basic version) or numerically and analytically assuming the frequency is large (Advanced version). GreenSwirl has applications to the beamforming technique and can be used in the aeroacoustics industry to model aeroengine noise.

Further information can be found at the GreenSwirl website and in the following publications:

Mathews, J., Peake, N. and Bianchi, S. (May 2016). Asymptotic and numerical Green’s function in a lined duct with realistic shear and swirl. 22nd AIAA/CEAS Conference Paper (Lyon).

Mathews, J., and Peake. N., Journal of Sound and Vibration, Journal of Sound and Vibration, 2017, 395, 294-316.

Licences to the software for both academic and commercial users are available for purchase by contacting us at the link below.

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Automatic estimation of polarity and associated uncertainty of a feature in a noisy time series

Physical Sciences Ref No: Whi-3163-15
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Professor Robert White and his team at the University of Cambridge have developed a new computational approach for the automatic and  probabilistic estimation of the polarity and the associated uncertainty of features in a noisy time series, such as for example seismograms.

The unique capability of this approach allows automatic estimation of the polarity of the first motion of a detected signal, such as a seismic wave, through Bayesian statistical methods with comparable if not better reliability than manual picking. This automatic picking and analysis has the benefit of a more rigorous and objective estimation of the polarity. Together with the polarity, this approach can also provide onset time uncertainties (uncertainty in the pick time) and the polarities for the signal e.g. phases of transverse waves (SH and SV waves).

The more rigorous and objective knowledge of the polarity of a seismic wave can provide increased insight and understanding of the behaviour of soil and rock in geological surveys during site characterisation and monitoring and can help to assess and manage the risk of geologic hazards such as seismic shaking.

We believe this approach may be useful in a range of different fields, so please contact us if you are interested in exploring this with us. The invention is protected by a PCT application.

 

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Q3PULSE software for predicting unsteady turbocharger turbine performance

Physical Sciences Ref No: Cao-3214-15
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The Q3PULSE software is used for predicting unsteady turbocharger turbine performance, particularly under pulsating flow conditions. It builds a low order model of a turbine which combines a quasi-3D model for a volute and multiple meanline models for a rotor. This model strikes a good balance between accuracy and complexity. It provides a quick, robust and accurate prediction of unsteady turbine performance under pulsating flows. It is therefore a good research and design tool which allows turbine designers to accommodate the pulsating flow effect into the preliminary turbine design.

The software is compatible with Linux and Windows. Academic and commercial licensing is available; please get in contact for more information.

Q3PULSE Fig1          Q3PULSE Fig2

Publications:

J. Eng. Gas Turbines Power, 2016, 138(7), 072607.

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COBRAS Concrete Bridge Assessment Program

Software Ref No: Mid-1022-96
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Concrete Bridge Assessment Program (COBRAS) is a yield-line analysis software program for assessing the ultimate load capacity of concrete structures, and in particular, concrete bridge decks.

A number of UK bridge authorities, consultants and overseas organisations are currently using the program to evaluate the load carrying capacity of concrete bridges that have failed assessment using conventional elastic analysis methods. The program has been developed in the Department of Engineering at the University of Cambridge by Dr Campbell Middleton and colleagues. The team have received support from various bodies including the Highways Agency, Transport Research Laboratory (TRL) and the Engineering and Physical Sciences Research Council (EPSRC).

A paper by Dr Campbell Middleton presented at the Surveyor Bridge Conference in London, March 1998 gives more information on the program and its use for concrete bridge assessment.

Further information can be found at the COBRAS website.

Licences to the software for both academic and commercial users are available for purchase by contacting us at the link below.

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Virtual WDS software

Physical Sciences Ref No: Ree-1001-95
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The Virtual WDS program allows the synthesis of Wavelength-Dispersive Electron Probe Spectra using stored experimental spectra, to facilitate the selection of optimal positions for background measurements and assist in the choice of suitable counting strategies for specific analytical situations.

Further information can be found at the Department of Earth Sciences website and in the following publications:

  • Reed, S. J. B. and Buckley, A. (1996). Virtual WDS. Mikrochim. Acta (Suppl), 13, 479–483
  • Reed, S. J. B. and Buckley, A. (1998). Computer simulation applied to WD analysis. Microscopy and Microanalysis, 4 (Suppl 2), 236–237.

Virtual WDS has been developed to run under Microsoft Windows and will run on either WFW, Windows 95/98, Windows NT, Windows 2000, Windows XP, Windows ME or Windows 7. A 16-bit version is still available for WFW but the latest version is 32-bit only (i.e. W95/98/2000/NT/XP/ME).

Licences to the software for both academic and commercial users are available for purchase by contacting us at the link below.

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Software for calculating the minimum lap or manoeuvre time of a road vehicle

Physical Sciences Ref No: Col-2708-12
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Calculating the minimum lap or manoeuvre time of a road vehicle has received much attention in the past. Existing solutions to the calculation problem include the quasi-steady-state method (QSS), which is computationally fast but ignores the transient dynamics of the vehicle and does not allow the optimum vehicle path to be determined. At the other end of the spectrum, nonlinear optimisation has been used, but there are associated difficulties with numerical robustness and computational load.

Researchers in the Department of Engineering have developed an algorithm which overcomes these limitations and provides a computationally efficient and numerically robust solution by formulating the problem as a convex optimisation. Given a set of vehicle parameters and road boundary geometry, the algorithm calculates the optimum path, speed, steering and drive/brake controls to minimise the lap or manoeuvre time of the vehicle. The results from the software have been validated against results from a nonlinear optimisation algorithm. Use of the software requires the industry-standard MATLAB® program and access to a Quadratic Programme Solver.

The software has application in the automotive and racing car industries.

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CAM2 software for hearing aid fitting

Software Ref No: Moo-2554-11
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CAM2 software is a package that enables hearing aids to be tailored to an individual’s needs, resulting in improved hearing quality. All modern hearing aids include multi-channel amplitude compression and the characteristics of the compression need to be set to suit the individual hearing-impaired person. CAM2 has been developed to provide a superior solution for the tailoring of wide-band hearing aid parameters using the audiogram alone, and is an essential new tool in the audiology field.

CAM2 is available for licensing to hearing aid manufacturers and providers and for academic research purposes. If you are a hearing aid user interested in having CAM2 software used in the fitting of your hearing aid, please contact your hearing aid provider and ask them to get in touch with us directly.

Moore, B. C. and Sek, A. (2013). Ear Hear. 34, 83-95

Moore, B. C., Glasberg, B. R., and Stone, M. A. (2010). Int. J. Audiol. 49, 216-227

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ICM+ software for brain monitoring in neurological intensive care research

Software Ref No: Smi-833-03
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The ICM+ software, developed by Dr Peter Smielewski and Professor Marek Czosnyka, provides for real-time multimodality monitoring, analysis and data storage in neurological intensive care environments. Download further information here.

Non-exclusive licences with standard terms and conditions are available for the ICM+® software. Licence types include our standard, single centre research licence (usually priced at £7,500 plus VAT if applicable) that allows the software to be installed on up to 15 PCs per department (if you wish to install the software on more than 15 PCs then additional costs may be levied). We also offer consortium (i.e. multi-centre) as well as project-specific licensing (fees generally range from £4,000 to £7,500 plus VAT if applicable per centre). Offline and evaluation licences are also available.

To obtain a licence tailored to your needs:

  1. Complete the Licence Request Form and email it to software@enterprise.cam.ac.uk
  2. We will then send you a custom proposal for the licence (as well as custom consultancy work if requested).
  3. If you wish to proceed, we’ll draft a licence (and consultancy agreement if requested) and send it to you.
  4. The licence (and consultancy agreement if requested) will need to be signed by both an authorised official at your organisation and by the head of the research group requesting the software. Agreements can be executed by PDF or hard copy.
  5. Depending on the terms of the licence, the ICM+® software can then be installed either remotely (no additional charge) or via an on-site visit (charged separately); we will then invoice you thereafter.
  6. Maintenance updates are usually provided for two years as part of the license fee via the ICM+® website. Should you wish to continue downloading maintenance updates after the initial two year period, a separate Maintenance Agreement can be put in place at a cost of £770 (plus VAT if applicable) which will provide two further years of maintenance updates, plus one day of remote support.

Please note: The ICM+® software is in a development stage and is provided ‘as is’ (i.e. it is not error-free). ICM+® is designed as a research tool in order to augment clinical research; it is not licensed for diagnostic, therapeutic or clinical decision-making purposes. ICM+® has not been approved for use by any regulatory authority.

Third party Add-ons

  • ICM+ Tools: a separate add-on tool called to assist with the management of data resulting from the use of ICM+® is available from Monash University.
  • nICP plug-in: a separate plug-in for ICM+® that enables non-invasive calculation of ICP from TCD FV and ABP signals in real time is available from Bernhard Schmidt at Klinikum Chemnitz.

These third party providers are listed strictly for information purposes only. Cambridge Enterprise is not responsible for the quality of the software, goods or services offered by these providers.

 

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JBIG-KIT Lossless Image Compression Library

Software Ref No: Kuh-266-02
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JBIG-KIT, by Markus Kuhn, is a software implementation of the JBIG1 data compression standard (ITU-T T.82), which was designed for bi-level high-resolution image data such as scanned documents. This library is available in portable C code and has been widely used in fax products, printer firmware and drivers, and document management systems. The package includes a variant implementation of just the ITU-T T.85 profile, with memory management optimised for embedded and fax applications.

The package includes two variant implementations: jbig.c implements nearly all options of the standard, but has to keep the full uncompressed image in memory, whereas jbig85.c implements just the ITU-T T.85 profile, with memory management optimized for embedded and fax applications, buffering only a few lines of the uncompressed image in memory, able to stream images of initially unknown height.

JBIG-KIT provides a portable library of compression and decompression functions with a documented interface that you can include very easily into your image or document processing software. In addition, JBIG-KIT provides ready-to-use compression and decompression programs with a simple command line interface (similar to the converters found in netpbm).

Examples of standard data transfer formats that encapsulate JBIG1 streams include Zenographics Zj-stream, TIFF-FX (RFC 2301), and fax.

You can use JBIG-KIT free of charge under the conditions of the GNU GPL or alternatively, you can also get a commercial licence for applications that are incompatible with GPL requirements by contacting us.

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Gaussian Approximation Potential

Physical Sciences Ref No: Csa-2168-08
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Gaussian Approximation Potential (GAP) is a novel atomistic modelling technique that combines accuracy with speed. By inferring the energy of an atom from the position and identity of its neighbours using a precomputed database of exact quantum mechanical solutions, the potential energy surface of a system of atoms and molecules is approximated.

This methodology allows a controllable compromise to be made between the accuracy of Quantum Chemistry models and the speed of Interatomic Potential methods, with applications in a diverse range of fields including pharmaceuticals, aerospace, electronics and biotechnology.

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