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SUMMARY:3D holographic imaging of microswimmers  - Dr. Laurence Wilson. De
 partment of Physics. University of York
DTSTART:20170127T160000Z
DTEND:20170127T170000Z
UID:TALK67696@talks.cam.ac.uk
CONTACT:Dr. Hernandez-Ainsa
DESCRIPTION:Microswimmers usually move in three dimensions\, but camera se
 nsors are two-dimensional.  This can restrict the scope of experiments usi
 ng standard techniques.  In the past\, video microscopy data has been anal
 ysed by the most intuitive approach\, simply viewing video images as we do
  everyday objects.  Teaching a computer to track objects of a certain shap
 e or size then yields information about their dynamics.  This approach is 
 the same used in the macroscopic domain\, where ‘machine vision’ appro
 aches to object recognition and tracking have been very successful.  The w
 ork in our lab takes a different approach by using aspects of classical op
 tics and signal processing to design new image processing algorithms\, to 
 ‘mine’ more information out of digital images.  This has two advantage
 s:  (i) We can extract three dimensional imaging data from two-dimensional
  images\; (ii) by moving away from traditional ‘machine-vision’ ideas\
 , we can redesign imaging systems that are cheaper and more lightweight.\n
 I will present several examples from recent work in holographic imaging of
  microswimmers that use image-processing algorithms to obtain three-dimens
 ional data on microorganism swimming trajectory and shape.  We have adapte
 d our technology to investigate the physics of swimming in a diverse range
  of single-celled microorganisms including eukaryotes (Chlamydomonas\, Pla
 smodium)\, archaea (Haloarcula\, Halorubrum)\, and bacteria (Pseudomonas\,
  Shewanella).  In particular\, the ability to follow hundreds or thousands
  of individual swimming bacteria in volumes of up to a cubic millimetre al
 lows us to address questions on the statistics and variability of cell swi
 mming trajectories.  The figures below show examples of the swimming traje
 ctories of bacterial cells – E. coli in this case – rendered to scale.
  \n \nReferences:\n1.	Jikeli et al.\, Nat. Commun. 6 p.7985 (2015).\n2.	Wi
 lson et al.\, Proc\,. Natl. Acad. Sci. USA 110(47) p.18769 (2013).\n3.	Wil
 son & Zhang\, Opt. Express 20 p.16735 (2012).\n
LOCATION:Small Lecture Theatre\, Cavendish Laboratory
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