A computational method for two-dimensional quantitative analysis of standing wave images of red blood cells
Scrimgeour, Ross and Tinning, Peter William and Li, David and McConnell, Gail (2017) A computational method for two-dimensional quantitative analysis of standing wave images of red blood cells. In: Microscience Microscopy Congress 2017, 2017-07-03 - 2017-07-06.
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Abstract
Standing wave (SW) microscopy allows for an improvement in the axial resolution that can be obtained in optical microscopy. In SW microscopy two counter propagating waves interfere producing a SW with anti-nodal planes that are separated by λ/2n and a FWHM of λ/4n which is the axial resolution, where λ is the excitation wavelength and n is the refractive index Multi-planar SW microscopy, with the addition of a mirror below the specimen, allows for selective plane contour mapping of one concave surface of a red blood cell (RBC). We report a computational method to extract SW anti-nodal plane and boundaries positions (x,y) and extract each pixel intensity value. By doing so, we can create 2D reconstruction of SW RBC images captured at video rate. In future, by utilising the positional information for the each of the anti-nodal SW planes, we aim to create 3D and 4D reconstruction of the RBCs concave surface. Additionally, applying the extended computational method to SW RBC images we aim to study healthy and diseased erythrocytes and the changes in the concave surface morphology over time.
ORCID iDs
Scrimgeour, Ross ORCID: https://orcid.org/0000-0003-1412-9748, Tinning, Peter William ORCID: https://orcid.org/0000-0002-3270-4120, Li, David ORCID: https://orcid.org/0000-0002-6401-4263 and McConnell, Gail ORCID: https://orcid.org/0000-0002-7213-0686;-
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Item type: Conference or Workshop Item(Poster) ID code: 62243 Dates: DateEvent4 July 2017PublishedSubjects: Medicine > Therapeutics. Pharmacology
Science > PhysicsDepartment: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Faculty of Science > Physics
Strategic Research Themes > Health and Wellbeing
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 07 Nov 2017 10:35 Last modified: 11 Nov 2024 16:52 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62243