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Fluorescent microscopy beyond diffraction limits using speckle illumination and joint support recovery.


ABSTRACT: Structured illumination microscopy (SIM) breaks the optical diffraction limit by illuminating a sample with a series of line-patterned light. Recently, in order to alleviate the requirement of precise knowledge of illumination patterns, structured illumination microscopy techniques using speckle patterns have been proposed. However, these methods require stringent assumptions of the speckle statistics: for example, speckle patterns should be nearly incoherent or their temporal average should be roughly homogeneous. Here, we present a novel speckle illumination microscopy technique that overcomes the diffraction limit by exploiting the minimal requirement that is common for all the existing super-resolution microscopy, i.e. that the fluorophore locations do not vary during the acquisition time. Using numerical and real experiments, we demonstrate that the proposed method can improve the resolution up to threefold. Because our proposed method succeeds for standard fluorescence probes and experimental protocols, it can be applied in routine biological experiments.

SUBMITTER: Min J 

PROVIDER: S-EPMC3691569 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Fluorescent microscopy beyond diffraction limits using speckle illumination and joint support recovery.

Min Junhong J   Jang Jaeduck J   Keum Dongmin D   Ryu Seung-Wook SW   Choi Chulhee C   Jeong Ki-Hun KH   Ye Jong Chul JC  

Scientific reports 20130101


Structured illumination microscopy (SIM) breaks the optical diffraction limit by illuminating a sample with a series of line-patterned light. Recently, in order to alleviate the requirement of precise knowledge of illumination patterns, structured illumination microscopy techniques using speckle patterns have been proposed. However, these methods require stringent assumptions of the speckle statistics: for example, speckle patterns should be nearly incoherent or their temporal average should be  ...[more]

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