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1. #Binary phase mask iterative algorithm laser diffraction software#
2. #Binary phase mask iterative algorithm laser diffraction code#

An SLM positioned in the camera conjugate plane generates the periodic phase patterns. In such an exemplary system, in order to obtain accurate illumination patterns and phase shifts, sequential optical components are used together with an SLM. Majority of the SIM setups in the literature employ spatial light modulators (SLMs). In this work, SIM is selected as the method of choice due to its relative ease of setup and cost-effective nature. In addition to these techniques, the anisotropic resolution of the 2D camera detector can be used to improve the spatial resolution of microscopic images. photoactivated localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), stimulated emission depletion microscopy (STED) and structured illumination microscopy (SIM). In order to achieve resolution improvements beyond the diffraction limit, a number of super-resolution imaging techniques have been developed, i.e. In wide-field illumination fluorescence microscopy where the sample is illuminated with a homogeneous intensity distribution across the field, the lateral resolution is limited by the diffraction limit ( ) that can be brought down to ∼200 nm at visible wavelengths with the use of high numerical aperture (NA) microscope objectives. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist.įluorescence microscopy is a key imaging modality enabling visualization of specific sub-cellular structures that are highlighted with fluorescence markers. Kiraz acknowledges partial support from the Turkish Academy of Sciences (TÜBA). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data and codes are within the Supporting information files.įunding: Funded studies This work was supported by Marmara University Scientific Research Projects Coordination Unit (Project Number: FEN-C-DRP-110618-) and TÜBİTAK (Grant No. Received: JanuAccepted: AugPublished: September 9, 2022Ĭopyright: © 2022 Aydın et al. (2022) An LED-Based structured illumination microscope using a digital micromirror device and GPU accelerated image reconstruction. SIM reconstruction of 1024 × 1024 px images was achieved in 1.49 s using GPU computation, indicating an enhancement by ∼28 and ∼20 in computation time when compared with mono-thread CPU computation and multi-thread OpenMP CPU computation, respectively.Ĭitation: Aydın M, Uysallı Y, Özgönül E, Morova B, Tiryaki F, Firat-Karalar EN, et al. Two different SIM reconstruction algorithms have been developed for the CPU as mono-thread CPU algorithm and multi-thread OpenMP CPU algorithm. The developed image reconstruction algorithm was run separately on a CPU and a GPU.

#Binary phase mask iterative algorithm laser diffraction code#

Furthermore, a general purpose toolbox for the parallel image reconstruction algorithm and an infrastructure that allows all users to perform parallel operations on images without developing any CUDA kernel code is presented. SIM reconstruction is carried out in frequency space using parallel CUDA kernel functions. The sample is illuminated with two-dimensional sinusoidal patterns with various orientations and lateral phase shifts generated using a digital micromirror device (DMD).

#Binary phase mask iterative algorithm laser diffraction software#

In this study, the hardware and software implementation of an LED-based super-resolution imaging system using SIM employing GPU accelerated parallel image reconstruction is presented. It is possible to achieve resolution figures beyond the diffraction limit, and improve the performance and flexibility of high-resolution imaging systems with techniques such as structured illumination microscopy (SIM) reconstruction. When combined with computational approaches, fluorescence imaging becomes one of the most powerful tools in biomedical research.