Research on Automated Plankton Identification

Research on Automated Plankton Identification RAPID: Research on Automated Plankton Identification

In situ imaging systems are emerging as effective tools for quantifying the distributions and abundances of plankton. At the same time, laboratory techniques that digitize the contents of preserved or live plankton samples are in widespread use. Both techniques require automated classification techniques to deal with the enormous volume of digital data they produce. RAPID is an international collaboration to advance our capacity to use and develop automated plankton classification tools.

11/22/2018
When researching automatic methods for identification its important to set a benchmarks for human performance. I've been...
11/22/2018

When researching automatic methods for identification its important to set a benchmarks for human performance. I've been studying this topic for some time, and realised that I should share this paper - Culverhouse et al. (2014) An empirical assessment of the consistency of taxonomic identifications, Marine Biology Research, 10:1, 73-84, DOI: 10.1080/17451000.2013.810762.

It reports a study of 21 skilled plankton analysts drawn from 6 international laboratories. Its main conclusion is that humans can be variable in performance, with only 14 of the 21 experts, in a series of experiments, returning self-consistency scores better than 90%, the remaining 7 were ranging from almost random decision makers to no better than 73% self-consistent. The paper is available in the SCOR WG-130 dropbox available here

Shared with Dropbox

A new development in plankton imaging and analysis is in publication. See http://www.ommegaonline.org/article-in-press.p...
08/25/2015

A new development in plankton imaging and analysis is in publication. See http://www.ommegaonline.org/article-in-press.php?id=29

The LiZA line-scane camera system was used to image AMT21 (Atlantic Meridional Transect). In flow images from over 700 cubic metres of water have been analysed and a preliminary sort using a semi-automated pattern analysis technique, using the Plankton Image Analyser, is reported.

Thought I'd posted a call for PhD students interested in machine identification of natural objects. I'll try again! I am...
08/01/2015

Thought I'd posted a call for PhD students interested in machine identification of natural objects. I'll try again! I am offering a PhD topic under the call described below. Its on machine identification of benthic flora and fauna. I am seeking a person with good maths abilities, perhaps a knowledge of machine vision, perhaps using OpenCV. The work will involve a new feature detector and texture analysis, and machine learning. We have excellent resources for this project including access to a large data set of plankton, fish and benthic organisms. The work will eventually be embedded in an AUV that we have at Plymouth. Email me for further details.
[email protected].

PhD Studentships – Centre for Robotics and Neural Systems (CRNS), Plymouth University, UK

Following on the exceptional performance of Plymouth University in the UK Research Excellence Framework 2014, the university is now advertising the availability of 50 PhD studentships for study commencing in 2015/16.
Of these studentships, at least two will be allocated to research projects and supervisors of the Centre for Robotics and Neural Systems (CRNS), within the Faculty of Science and Engineering.
The first studentship can cover any topic within the CRNS research areas:
Cognitive and Humanoid Robotics
Computational Neuroscience
Artificial Intelligence
The second studentship will focus on Autonomous Systems, possibly with relevance to unmanned marine systems, and will be in collaboration with the School of Marine Science and Engineering:

For more details on the CRNS research projects, interests and supervisors, see:
https://www1.plymouth.ac.uk/research/crns/Pages/default.aspx

For general information on the studentships and application procedure, see:

https://www.plymouth.ac.uk/student-life/your-studies/the-graduate-school/fully-funded-phd-studentships

We recommend that in the application form and cover letter you specify a research topic and preferred supervisor. You are also encouraged to contact the individual supervisors before applying, for informal discussion.

The application deadline is 15 September 2015

Angelo Cangelosi has been awarded a contract from the US Air Force Office of Science and Research (AFSOR-EOARD) to work on trust in human-robot interaction. The $540k contract will see the hiring of two 4-year PhD students, one designing the social skills of the robots and the otehr carrying out exp…

Just to let you know that of a big study we (Phil Culverhouse, Chris Gallienne & Bob Williams) are getting into. Using o...
10/05/2012

Just to let you know that of a big study we (Phil Culverhouse, Chris Gallienne & Bob Williams) are getting into. Using our software (PIA) and Linescan imaging systems (LIZA) to gather near-continuous mesozooplankton data from Atlantic Meridional Transect (AMT) cruises. This image shows some examples of AMT21 (2011). Plankton Image Analyser (PIA) allows us to process and sort samples in a couple of hours using Gorsky's et al. semi-automated validation protocol (see the 2010 Zooscan paper).

We estimate errors in labelling to be less than 10% across the datasets. We have processed over 300,000 of the 1 million specimen images gathered from AMT21. We hope to be posting the results in the coming months.

Chris is taking our equipment on AMT22 which commences on 10th October. This work is a joint project between Plymouth University and Plymouth Marine Laboratory.

Phil Culverhouse

Fluid Imaging Technologies announces the 2012 FlowCAM Student Equipment & Travel Grant! Spread the news!
11/30/2011

Fluid Imaging Technologies announces the 2012 FlowCAM Student Equipment & Travel Grant! Spread the news!

Announcing the FlowCAM Student Equipment & Travel Grant. The grant is open to graduate students enrolled at a North American college or university who are studying marine or freshwater ecosystems, having a focus on microorganisms.

Karenia brevis samples analyzed by FlowCAM at the 6th Symposium on Harmful Algae taking place in Austin, Texas Nov 13-17...
11/15/2011

Karenia brevis samples analyzed by FlowCAM at the 6th Symposium on Harmful Algae taking place in Austin, Texas Nov 13-17. This harmful algae is present along the Texas coast in a prolonged "Red Tide".

09/01/2011
05/31/2011

SCOR WG130 main website up again

The SCOR WG130 website is back on line again at http://www.scor-wg130.net/index.cfm?nav=0. Take a look. download reports and a papers publications summary.

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