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Biological Imaging and machine vision for 3D shape reconstruction

PGR-P-283

Key facts

Type of research degree
PhD
Application deadline
Ongoing deadline
Country eligibility
International (open to all nationalities, including the UK)
Funding
Non-funded
Additional supervisors
Professor Netta Cohen
Schools
School of Computing
<h2 class="heading hide-accessible">Summary</h2>

The aim of this project will be to construct and use a 3D imaging system to record the motion of worms crawling and swimming in fluid environment. Using machine vision, 3D shape reconstruction will be performed, and the shapes obtained will be modeled using statistical methods. A first prototype system already exists, including the hardware and image detection and tracking software. The worms under investigation are known as C. elegans (Caernohabditis elegans). In their natural habitat, these microscopic (1mm in the adult) worms must navigate complex and heterogeneous environments in 3D. And yet to date, their behaviour has only been characterised in 2D (See e.g. Berri et al, HFSP J. 3, 186-19 2009, Stephens et al, PLoS Comput Biol 4, e1000028 2008, and Padmanabhan et al. arXiv:1202.2832 2012). The ability to record, track and characterise their behaviour in 3D will be a first step towards the modeling of the neural control of the observed behaviors. The earliest start date for this project will be 1 October 2020.

<h2 class="heading hide-accessible">Full description</h2>

<hr /> <p>The aim of this project will be to construct and use a 3D imaging system to record the motion of worms crawling and swimming in fluid environment. Using machine vision, 3D shape reconstruction will be performed, and the shapes obtained will be modeled using statistical methods. A first prototype system already exists, including the hardware and image detection and tracking software.</p> <p>The worms under investigation are known as C. elegans (Caernohabditis elegans). In their natural habitat, these microscopic (1mm in the adult) worms must navigate complex and heterogeneous environments in 3D. And yet to date, their behaviour has only been characterised in 2D (See e.g. Berri et al,&nbsp;<a href="http://dx.doi.org/10.2976/1.3082260" title="External link to dx.doi.org. Opens in a new browser window">HFSP J. 3, 186-19&nbsp;</a>2009, Stephens et al,&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi/10.1371/journal.pcbi.1000028" title="External link to www.ploscompbiol.org. Opens in a new browser window">PLoS Comput Biol 4, e1000028</a>&nbsp;2008, and Padmanabhan et al.&nbsp;<a href="http://arxiv.org/abs/1202.2832" title="External link to arxiv.org. Opens in a new browser window">arXiv:1202.2832</a>&nbsp;2012). The ability to record, track and characterise their behaviour in 3D will be a first step towards the modeling of the neural control of the observed behaviors.</p>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;Biological Imaging and machine vision for 3D shape reconstruction&rsquo; as well as&nbsp;<a href="https://engineering.leeds.ac.uk/staff/301/Professor_Netta_Cohen">Prof Netta Cohen</a>&nbsp;as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p>Self-funded students only.&nbsp;</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding your application,&nbsp;please contact Doctoral College Admissions by email:&nbsp;<a href="mailto:EMAIL@leeds.ac.uk">p</a><a href="mailto:phd@engineering.leeds.ac.uk">hd@engineering.leeds.ac.uk,</a>&nbsp;or by telephone: +44 (0)113 343 5057</p> <p>For further information regarding the project, please contact Professor Netta Cohen by email:&nbsp;&nbsp;<a href="mailto:N.Cohen@leeds.ac.uk">N.Cohen@leeds.ac.uk</a></p>


<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>