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5 years ago
5 years ago
5 years ago

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David Barry
David Barry
...
Cancer Research UK London Research Institute
Engineering
Cell Imaging
Postdoctoral Researcher
Awarded
BE (Hons) Electronic Engineering, University College Dublin, 2004.
PhD, Image Analysis in Biotechnology, Dublin Institute of Technology, 2010.
Research Project Supervisor, Dublin Institute of Technology, Kevin St, Dublin 8, Ireland (2006 - 2009)

I was involved in co-supervising the below research projects, which entailed planning of experimental work, supervision in laboratory, assisting in interpretation of results and assessment of final reports.

1. MSc, Industrial Sciences in Biochemistry, DIT (Erasmus from Hogeschool Gent, Belgium), 3 month duration:

a. Influence of spore inoculum age and concentration on the production of
alpha-amylase by Aspergillus oryzae (2006).
b. Studies on the production of Endo-beta-N-acetyl-glucosaminidase activity by Aspergillus oryzae (2009).

2. BSc, Biosciences, DIT, 3 week duration:

a. A study of the kinetics of Aspergillus oryzae spore germination and hyphal differentiation using a novel image analysis system (2007).
b. Characterization of Aspergillus oryzae spore inoculum quality and comparison of germinative potential in liquid and solid phase culture (2007).
c. An investigation of the general applicability and utility of a novel fungal slide mount technique based on the use of a cellulose ester membrane (2007).
d. Studies on the effects of non-ionic detergents on Aspergillus oryzae growing under solid state and submerged cultures (2009).
e. Studies on the immobilisation of Penicillium chrysogenum (2009).

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Physics Tutor/Lecturer, Dublin Institute of Technology, Kevin St, Dublin 8, Ireland (2006)

I provided supplementary physics lectures to first year engineering students on a weekly basis for two months. The lectures were intended to provide an overview of the fundamentals of physics to students who did not study physics at second level.
N/A
Most of my research involves the development of image analysis algorithms to quantify cell morphology and various (sub-)cellular processes.

Microscopic images very often represent the output of experiments in cell biology research. At present, such datasets are often quantified manually, which is extremely time-consuming and often subjective, or sometimes, not quantified at all.

Therefore, I think I could be of use in a teaching capacity in one of two ways:

1. Introducing engineers to the field of cell biology: there is a huge demand for engineers and computer scientists in biology to quantify image datasets, often several gigabytes in size.
2. Introducing biologists to imaging and basic image analysis techniques: many researchers in this field have a poor understanding of optical principles and are unaware of simple image analysis techniques that could considerably increase their productivity.
  • Demonstrating,
  • Seminar delivery,
  • Lecture delivery,
  • Supervision (undergraduate),
  • Supervision (postgraduate)
  • London,
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