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Lab 1
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Lab 2
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Lab 3
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Individual Assessments

Lab 1

C callunae SEM 001.jpg
Scanning Electron Micrograph of Corynebacterium callunae [1]

Lab 2

Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy[2]

Super-resolution microscopy overcomes the physical limitation of the diffraction of the objective aperture using a variety of techniques, each with their own restrictions. For example, Stimulated Emission Depletion (STED) microscopy uses a set of techniques which may damage some biological systems, while Stochastic Optical Reconstruction microscopy (STORM) requires 1 000 to 10 000 individual images to be taken (by necessity) over a period of minutes to produce a decent final composite, thereby rendering it a poor option for live-cell imaging. In this article, the authors propose an new algorithm for super-resolution microscopy, which they call the Spatial Covariance Reconstructive (SCORE) algorithm, which can achieve a lateral resolution of 100 nm in 5 to 7 seconds of imaging.

Like STORM, SCORE combines data on the fluorescent intensity covariance of each pixel with the shape of the overlapping point spread function (PSF) data to compile a composite image representing the probability distribution of each emitter. In less technical language, a series of images of the subject is taken, the difference in light intensity between corresponding pixels in different images is measured, and the resulting data run through a set of algorithms to compensate for optical phenomena in order to "pinpoint" the source of light emission. In this case, resolution is limited not by the diffraction of the objective lens, but by the quality of the fluorescent label being used. Several comparisons between SCORE and STORM are given, and it is concluded that SCORE produce superior quality images with less noise and closer resemblance to actual structure, but maintaining a similar processing time to existing techniques. A most incredible example is shown in 2(e), where simulated data depicting a sub-diffraction ellipse is parsed using both STORM and SCORE algorithms with various volumes of data and duty cycles.




  1. Marcus Persicke, Andreas Albersmeier, Hanna Bednarz, Karsten Niehaur, Jörn Kalinowski, Christian Rückert Genome sequence of the soil bacterium Corynebacterium callunae type strain DSM 20147T. Standards in Genomic Sciences: 2015, 10(5) doi:10.1186/1944-3277-10-5
  2. <pubmed>24788039</pubmed>

2015 Course Content

Lectures: Cell Biology Introduction | Cells Eukaryotes and Prokaryotes | Cell Membranes and Compartments | Cell Nucleus | Cell Export - Exocytosis | Cell Import - Endocytosis | Cytoskeleton Introduction | Cytoskeleton - Microfilaments | Cytoskeleton - Microtubules | Cytoskeleton - Intermediate Filaments | Cell Mitochondria | Cell Junctions | Extracellular Matrix 1 | Extracellular Matrix 2 | Cell Cycle | Cell Division | Cell Death 1 | Cell Death 2 | Signal 1 | Signal 2 | Stem Cells 1 | Stem Cells 2 | Development | 2015 Revision

Laboratories: Introduction to Lab | Microscopy Methods | Preparation/Fixation | Cell Knockout Methods | Cytoskeleton Exercise | Immunochemistry | Project Work | Confocal Microscopy | Tissue Culture | Stem Cells Lab | Microarray Visit

2015 Projects: Group 1 | Group 2 | Group 3 | Group 4 | Group 5 | Group 6 | Group 7

Dr Mark Hill 2015, UNSW Cell Biology - UNSW CRICOS Provider Code No. 00098G