10022 - poster - d metcalf v2 lr

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  • 7/31/2019 10022 - Poster - D Metcalf v2 LR

    1/1

    QueensPrinterandControllerof

    HMSO,

    2012.

    10022/0412

    www.npl.co.uk

    STORM-ing through the difraction limitDaniel Metcal

    National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, UK

    [email protected]

    Biological Scale

    Light microscopes have a resolution limit o around 250 nanometres (nm), which

    means anything smaller will appear blurred. Any improvements in microscope

    resolution will give new insights into molecular details o cells and improve our

    understanding and treatments o diseases.

    ConclusionsThere are still many challenges or improving dSTORM super-resolution technology,not least o which are a better understanding o sample preparation, how to takeimages and super-resolution sotware algorithms. Understanding and interpretingsuper-resolution images is o critical importance to molecular cell and biomedical

    scientists who are beginning to use super-resolution microscopy to investigate themolecular basis o disease and associated therapies.

    The work presented here veries that the dSTORM microscope that has beendeveloped at NPL is working correctly and outlines some general principles or howimages should be acquired and displayed.

    GlossaryResolution can be dened in dierent ways. Most

    commonly reers to the ability to distinguish two objects as

    separate (and not merged into one object).

    Localisation precision is the accuracy with which each

    molecule can be measured. It depends on the sensitivity o

    the microscope and brightness o the uorescent dye.

    Diraction is the cause o blurring, which limits resolutionin normal microscopes. It is dependent on the wavelength

    o light and the numerical aperture o the objective lens.

    AcknowledgementsNPL researchers involved include Rebecca Edwards, Neelam

    Kumarswami, Miklos Erdelyi and Alex Knight.

    The microscope has been developed in collaboration with

    Clemens Kaminski and Eric Rees rom Cambridge University.

    Funding has been provided by the National Measurement

    Ofce and the EPSRC.

    Useul discussions on samples and image interpretationhave been taken place with our collaborators at the Medical

    Research Council Laboratory or Molecular Cell biology.

    Microscopy o CellsCells contain hundreds o thousands o dierent

    types o molecules. However, they are very small,

    densely packed and mostly transparent.

    Specic molecules within cells can be labelled with a uorescent

    dye or protein. Increasing zoom shows details becoming blurred

    as the resolution limit is being reached (~250 nm).

    A human cell. Scale bar 10 m. This human cell has a DNA dye in blue and a label or a component o the cell

    cytoskeleton in yellow. Scale bars 20 m, 5 m and 1 m rom let to right.

    Beating the Difraction Limit

    (1) Instead o having all the uorescentmolecules on, switch most o them o.

    (3) Switch a dierent subset o the uorescent molecules on and repeat steps 1 and 2 until all o

    them have been plotted. Typically this is done on 10000 or more rames.

    (4) Put together a super-resolution image using all the plotted molecular positions rom the

    previous steps. Each plotted position is c alled a localisation and is represented by a super-

    resolution pixel. The brighter a pixel is the more localisations there are within that area.

    (2) Measure the middle position o each uorescentmolecule and plot its position.

    Super-Resolution Microscopy

    Very recently, super-resolution microscopes have been developed, which can overcome thediraction limit. One method is th e dSTORM (direct stochastic optical reconstruction microscopy),

    which can achieve resolutions up to 10 times better than traditional optical microscopes.

    A human cell with uorescently labelled vesicles (spherical objects in cells ~50-100 nm in diameter).

    Actin Filament Test SampleTo test that the dSTORM approach is working as expected it is necessary to use a known test

    sample. Actin laments were selected as these have a uniorm diameter o 7 nm. A method or

    assembling and staining these laments onto glass was optimised.

    Fluorescently labelled actin laments. Boxed regions are shown in the images on the right. Scale bars are 200 nm.

    dSTORM pixel size is 15 nm. Normal pixel size is 100 nm.

    Two Colour dSTORM ImagingThe ability to label dierent molecules with dierent dyes and image them is an extremely

    powerul approach used by cell and molecular biologists and biomedical researchers. To test two

    colour dSTORM imaging, actin laments labelled with two dierent dyes were used to label the

    same structures. Actin laments

    labelled with

    2 dyes (shown

    in green and

    magenta). Scale

    bars are 200 nm.

    dSTORM pixel

    size is 15 nm.

    Normal pixel size

    is 100 nm.

    dSTORM Image QualitydSTORM images are typically reconstructed rom at least 10,000 individual rames each with

    multiple localisations. A large number o localisations is required to accurately reconstruct a

    dSTORM image. Insufcient localisation number leads to a pointillist image.

    Also, image quality depends on the calculated localisation precision, which is in turn dependent

    on the sensitivity o the microscope and the brightness o the uorescent dye used. The

    reconstructed super-resolution image should have a pixel size th at reects this localisation

    precision to correctly represent the data.

    Fluorescently labelled actin lament. Scale bars are 200 nm. dSTORM pixel size is 15 nm. Normal pixel size is 100 nm.

    Graph and dSTORM images show efect o increasing rame number used to reconstruct nal image.

    Fluorescently labelledactin lament. Scale

    bars are 200 nm.

    Normal pixel size is

    100 nm. dSTORM

    pixel size varies as

    indicated. Mean

    localisation precision

    was 15.4 nm or this

    image, so the 15

    nm pixel size is the

    most appropriate or

    representing this data.