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Excelitas Technologies Corp. - X-Cite Vitae LB 11/24

Spinning-disk Microscope Peers into the Heart of a Cell

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LONDON, Oct. 10, 2013 — A new microscopy technique with unprecedented focusing ability will allow structures deep within cells, including viruses and bacteria, to be investigated for the first time.

The new microscopy technique, called spinning disk statistical imaging (SDSI), uses a spinning disk system to image structures 80 nm or less anywhere in the cell. It was developed at Queen Mary University of London by Dr. Neveen Hosny, a bioengineer working with professor Martin Knight of the School of Engineering and Materials Science, along with Dr. Ann Wheeler of Queen Mary’s Blizard Institute.

“The spinning disk microscope produces focused images at high speed because it has a disk with an array of tiny holes in it which remove the out-of-focus light," Wheeler said. “We have combined this microscope with new fluorescent probes which switch between a bright and dark state rapidly. This system is now allowing us to see structures three times smaller than could usually be seen using standard light microscopes.”


Setup of spinning disk stochastic imaging (SDSI) system and evaluation of imaging capabilities. (A) Schematic diagram describing how the point spread function is refined in a selected axial plane by spinning disk confocal microscopy and superresolution image processing. (B) Diagram showing the configuration of the SDSI microscope, abbreviations are as follows: EMCCD = Electron multiplied charge-coupled device camera. FW = Filter wheel. SD = Yokagawa CSUX1 spinning disk, M = mirror. PCF = Piezo-coupled focus feedback unit. OB = Objective. (C) Workflow of the SDSI experiments used in this paper, Briefly samples are prepared with probes for either PALM or dSTORM, next samples are imaged and finally SR data is generated using the SOFI image processing algorithm.

Setup of spinning disk stochastic imaging (SDSI) system and evaluation of imaging capabilities. (A) Schematic diagram describing how the point spread function is refined in a selected axial plane by spinning disk confocal microscopy and superresolution image processing. (B) Diagram showing the configuration of the SDSI microscope, abbreviations are as follows: EMCCD = Electron multiplied charge-coupled device camera. FW = Filter wheel. SD = Yokagawa CSUX1 spinning disk, M = mirror. PCF = Piezo-coupled focus feedback unit. OB = Objective. (C) Workflow of the SDSI experiments used in this paper, Briefly samples are prepared with probes for either PALM or dSTORM, next samples are imaged and finally SR data is generated using the SOFI image processing algorithm.

 Recent advances in optical physics, such as superresolution microscopy, have made it possible to use fluorescence to study complex structures smaller than 200 nm; however, only the structures at the bottom of the cell can be imaged clearly with such techniques. The nucleus and other vital information are in the middle of the cell, while bacterial and viral infections are scattered throughout. This has imposed considerable limitations for biologists.

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Comparison between single channel SDSI superresolution imaging and SIM imaging in a medial plane of HeLa cells. (A) Comparison of SD, SDSI-dSTORM and SIM images of the mitotic spindle, the spindle was visualized using ß-tubulin antibodies. Secondary Fab fragment antibodies conjugated to AlexaFluor647 were used for dSTORM imaging. SR data was generated using 3rd order SOFI, bar = 1 µm. (B) Comparison of SD, SDSI-dSTORM and SIM images of the mitochondria, the mitochondria were visualised by transfecting cells using the Dronpa-Mito construct for PALM imaging, SR data was generated using 3rd order SOFI, bar = 1 µm. (C) Line-scans (indicated in yellow parenthesis) through the mitotic spindle and mitochondria comparing SD resolution with SDSI and SIM.

Comparison between single channel SDSI superresolution imaging and SIM imaging in a medial plane of HeLa cells. (A) Comparison of SD, SDSI-dSTORM and SIM images of the mitotic spindle, the spindle was visualized using ß-tubulin antibodies. Secondary Fab fragment antibodies conjugated to AlexaFluor647 were used for dSTORM imaging. SR data was generated using 3rd order SOFI, bar = 1 µm. (B) Comparison of SD, SDSI-dSTORM and SIM images of the mitochondria, the mitochondria were visualised by transfecting cells using the Dronpa-Mito construct for PALM imaging, SR data was generated using 3rd order SOFI, bar = 1 µm. (C) Line-scans (indicated in yellow parenthesis) through the mitotic spindle and mitochondria comparing SD resolution with SDSI and SIM. doi:10.1371/journal.pone.0074604.g004

The group has been able to visualize chromatin, the protein structure that controls DNA expression and the nuclear membrane, she said. "We have also used the method to get images of focal adhesions – subcellular macromolecules which the cell uses to attach to its environment."

Although it was possible to see these structures previously, “Our method provides a greater degree of detail. It also allows us to look at protein complexes which are smaller than 200 nm in the nucleus, which hasn't been done before,” she said.

Wheeler has worked with colleagues across the university to make the technique cost-effective and easy to use for scientists who are not experts in optical physics. She added, “We will be continuing to develop the technology to improve the fluorescent probes used for this technique and also applying it to cellular processes such as invasion in cancer.”

The development and an analysis of the SDSI system was published Oct. 9 in the open-access journal PLOS ONE.  

For more information, visit: www.qmul.ac.uk

Published: October 2013
Glossary
superresolution
Superresolution refers to the enhancement or improvement of the spatial resolution beyond the conventional limits imposed by the diffraction of light. In the context of imaging, it is a set of techniques and algorithms that aim to achieve higher resolution images than what is traditionally possible using standard imaging systems. In conventional optical microscopy, the resolution is limited by the diffraction of light, a phenomenon described by Ernst Abbe's diffraction limit. This limit sets a...
fluorescence
Fluorescence is a type of luminescence, which is the emission of light by a substance that has absorbed light or other electromagnetic radiation. Specifically, fluorescence involves the absorption of light at one wavelength and the subsequent re-emission of light at a longer wavelength. The emitted light occurs almost instantaneously and ceases when the excitation light source is removed. Key characteristics of fluorescence include: Excitation and emission wavelengths: Fluorescent materials...
probe
Acronym for profile resolution obtained by excitation. In its simplest form, probe involves the overlap of two counter-propagating laser pulses of appropriate wavelength, such that one pulse selectively populates a given excited state of the species of interest while the other measures the increase in absorption due to the increase in the degree of excitation.
CCDAnn WheelercamerassuperresolutionbacteriabiologistsBiophotonicsBlizard Institutecancercell imagingDNAEuropefluorescenceImagingMartin KnightMicroscopyNeveen Hosnyoptical microscopyPLOS ONEprobeQueen Mary UniversityResearch & TechnologySDSIspinning disk microscopeSpinning Disk Statistical Imagingsuperresolution microscopyvirus

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