First semen lifetime analyser

Dynescan is the first semen analyser capable of measuring the lifetime of semen in conditions similar to the reproductive tract, bringing new data insights to understand fertilisation capacity.

The challenge

The average UK dairy farmer is losing £37K each year due to poor conception rates which have fallen by 20% over the past 40 years. Current methods for semen assessment used on farm generate errors >10% for standard semen concentrations and are unable to cater for fresh and sex-sorted semen concentrations. Across the industry there is no quality control standard for vets, farmers and AI technicians to check semen quality before reproduction.

Why Dyneval?

The name Dyneval is an abbreviation of Dynamic Evaluation - reference to our innovative technology for measuring motion, developed by a team of physicists with over 30 years of experience studying complex fluids at the University of Edinburgh. Members of the team combine deep-tech science and agri-tech expertise with networks in Canada, Argentina and the US. 

The Solution

Dyneval technology provides an easy-to-use, automated and portable instrument for semen analysis.  It offers the most reproducible motility measurements (errors <5%) and works for any concentration of semen above 1million/mL (lower than sex-sorted semen concentrations).   
The Dyneval solution is becoming the gold-standard in semen assessment, and can be used by anyone, anywhere.

AI 4 AI

The Dyneval mission is to become the experts choice for semen analysis. The Dynescan will be market-ready in January 2022 so please get in touch if you would like to learn more. The Dynescan can be used during bull soundness examinations, for research and to ensure that motile semen is used for artificial insemination. Our goal is to improve the sustainability of livestock reproduction artificial intelligence technology for artificial insemination (AI4AI) which can be adapted to a range of species and challenges.

Frequently asked questions

The portable Dynescan provides reliable measurements of semen motility using portable equipment within a few minutes. A controlled environment for semen samples, held in a microscope slide at 37.5 degrees Centigrade, ensures that samples are protected from wind and dirt. Visual mode allows users to assess semen quality by eye and record movies for reference at a later date. Dyneval mode provides automated measurements of the percentage of spermatozoa that are motile (% motility) and measures the mean speed of spermatozoa. The Dyneval instrument can be operated in single measurement mode or in continuous mode so that repeated measurements can be collected over time to examine the metabolic health of spermatozoa.

Dyneval’s innovative technology for video analysis is core to the automated process used to obtain reliable measurements.  Existing technologies track individual spermatozoa, a process that does not work outside of the range of 10-100million/mL and generates standard deviation errors reported to be around 10%.   Dyneval’s innovative technology, developed by physicists, measures a large volume of the sample, thus improving accuracy (reproducibility) and allowing for measurements of the mean speed at very low concentrations, down to 1 million / mL to very high concentrations, as found in fresh semen.   

We believe Dyneval technology will enable data-driven decisions to enable farmers and vets to improve conception rates. Automated measurement ensures that the Dynescan is simple to use and that measurements are independent of the user.  Our vision is to establish Dynescan as a quality control standard for use across the industry whether in a laboratory, on farm, at a vet practise or used by a technican prior to artificial insemination.  Through quality control, issues relating to male fertility can be identified and used to inform decisions to improve the sustainability of livestock production.

We currently ship devices across the UK, and will be extending across to the US and Canada in early 2022. Further countries will follow later in the year.

We are!  Please navigate to our careers page to explore the roles we are seeking to fill.  If you are looking to learn more about future opportunities please drop us a line at contact@dyneval.com 

The innovative technology at the core of Dyneval extracts measurements of motion from videos of microscopic microorganisms or particles.   Knowledge of the motility of bacteria and algae can help in the emerging sector of industrial biotechnology.  In the field of chemical characterisation, Dyneval’s core technology can be used to characterise the size of colloids at limits beyond those accessible with current characterisation techniques.   Please get in touch to speak with us about other applications.  

Dynescan Certified Users

Dyneval’s global network is growing fast. What are you waiting for?

Locate your nearest Dynescan user. 

Latest

AI/ML Engineer

Dyneval are hiring a highly motivated and talented AI/ML engineer, proficient in utilizing Convolutional Neural Networks (CNNs) and Region-based Convolutional Neural Networks (R-CNNs) within an AWS environment

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Core Team:

Tiffany Wood

CEO

Tiffany is a PhD physicist turned entrepreneur, passionate about delivering purpose-driven impact from scientific innovation.  Previously she was co-founder and Director of the Edinburgh Complex Fluids Partnership.

Dr Vincent Martinez

Vincent Martinez

CTO

Vincent is a recognised authority on the measurement of microscopic motion, of colloids and microorganisms, in complex fluids having published over 45 papers in leading scientific journals while at the University of Edinburgh.

Fabiana Graff

Marketing Manager

Fabiana graduated as a Graphic Designer in Argentina and moved to the UK in 2010. Since then, she has worked as a marketing and branding consultant for companies from diverse industries.

Board of Directors:

photo of Chairman Richard Cooper

Richard Cooper

Chairman

An engineer, entrepreneur and investor, Richard brings 40 years of operational and board level experience to Dyneval, known for co-founding Novosound and helping to take Cascade Technologies from zero to £8m annual sales and 60 employees within 11 years.

Jim Dobson

non-exec Director

Jim was the founder and CEO of Dunbia, grown from a small butchers shop in the 1970s to become one of Northern Ireland’s most successful private companies exporting to over 50 countries worldwide and creating a valuable global network in the agri-food business 

photo of Stuart MacLennan

Stuart Maclennan

Investor Director

Previously, General Manager for Genus ABS in the UK & Eire and established Circular1 Health to provide critical COVID-19 screening in the UK. Now, CEO of Peacock Technology, delivering engineering & AI to deliver sustainable animal-based protein production.

Advisory Team:

Phil Elkins

Advisor

Ethically driven, Phil is a practising vet and farm consultant passionate about using data to help farmers improve the health, welfare and productivity of their herds.  He has held board-level for the British Cattle Veterinary Association, British Veterinary Association and Red Tractor Dairy Assurance Scheme.

photo of Matt Dobbs an advisor

Matt Dobbs

advisor

Matt is a practising farm vet, director of AgriEPI Centre, trustee for the Animal Welfare Foundation and the Global Chief Medical Officer for Destination Pet.  As a strategic board advisor for Agri-tech companies, Matt was recently appointed Practice Leader for Digital Technology at Stonehaven Consulting.

photo German Graff

Germán Graff

advisor

Germán qualified as a Veterinary Surgeon in Argentina and obtained postgraduate degrees in Bovine Reproduction and Business Administration (MBA).   He has led veterinary product development programmes globally and built services for a multinational diagnostic company.

photo Sarah martins da Silva

Sarah Martins
da Silva

advisor

Sarah is Clinical Senior Lecturer in Reproductive Medicine at the University of Dundee.  She was selected for the BBC 100 Women 2019 list recognised for her work on male infertility to redress global inequalities and the current burden of fertility on women.

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