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Hamamatsu Corp. - Earth Innovations LB 2/24

Deconvolution Helps Break Down Imaging Barriers

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Researchers can use this method to improve clarity — without additional optical hardware — and to obtain access to structures previously hidden above and below the focal plane.

LAUREN ALVARENGA OLYMPUS CORP. OF THE AMERICAS

Deconvolution is a computationally intensive image processing technique used to improve the contrast and sharpness of images captured with a light microscope. Light microscopes are diffraction limited, which means they are unable to resolve individual structures unless they are more than half the wavelength of light away from one another. Each point source below this diffraction limit is blurred by the microscope into what is known as a point spread function (PSF). With traditional wide-field fluorescence microscopy, out-of-focus light from areas above or below the focal plane causes...Read full article

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    Published: October 2019
    Glossary
    wide-field fluorescence microscopy
    Wide-field fluorescence microscopy uses either naturally occurring structures or staining with fluorescent tags that are activated by specific wavelengths of light and then emits a different wavelength. The microscope itself is set up with a light source (commonly an arc lamp, metal halide or LED) that emits the excitation light to the sample. The whole field of view is illuminated by the excitation light, hence the name, wide-field. The quality of the wide-field fluorescence is dependent upon...
    point spread function
    The point spread function (PSF) is a fundamental concept in imaging that describes the response of an imaging system to a point source or point object. It characterizes how a single point of light is spread or distributed in the image produced by the system. The point spread function is essential for understanding the resolution and image quality of optical systems. Key points about the point spread function include: Mathematical description: The PSF is often represented as a mathematical...
    nearest neighbor
    A resampling and interpolation method that uses only the value of the nearest neighbor pixel, while not considering values from any other neighboring pixels from the source image to determine the value of a target pixel.
    fourier transform
    Any of the various methods of decomposing a signal into a set of coefficients of orthogonal waveforms (trigonometric functions).
    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...
    deconvolutionlight microscopeswide-field fluorescence microscopypoint spread functiondeblurring algorithmsnearest neighborz-planeinverse filtering algorithmsFourier transformringingconfocalmultiphotonsuperresolutionJansson-Van Cittert algorithmFeaturesMicroscopyImagingBiophotonics

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