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Hologram microcosm review2/28/2024 ![]() This paper presents a straightforward generative model for hologram formation from a simple sphere, which has become the basis for many later studies on various systems. Characterizing and tracking single colloidal particles with video holographic microscopy. The authors fit a generative model based on Lorenz–Mie theory to a recorded hologram to determine the properties of a microscopic particle. Imaging of transparent spheres through a planar interface using a high-numerical-aperture optical microscope. Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen. Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders. Imaging red blood cell dynamics by quantitative phase microscopy. Quantitative Phase Imaging of Cells and Tissues (McGraw-Hill Education, 2011). Quantitative phase imaging in biomedicine. Digital holographic microscopy for live cell applications and technical inspection. Non-invasive, label-free cell counting and quantitative analysis of adherent cells using digital holography. Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. Submersible digital in-line holographic microscope. K., Garcia-Sucerquia, J., Xu, W., Jericho, M. Principles and techniques of digital holographic microscopy. Tutorial: Aerosol characterization with digital in-line holography. Tracking particles in four dimensions with in-line holographic microscopy. Digital in-line holography for biological applications. Together with Gabor (1948), this paper demonstrates that it is possible to optically reconstruct a 3D representation of a specimen from its recorded hologram, a finding that launched the field of holographic microscopy. Digital holographic microscope for measuring three-dimensional particle distributions and motions. ![]() ![]() Finally, we anticipate directions for future development and provide an outlook on the integration between experiment and computational analysis, an emerging paradigm for microscopy. We discuss the reproducibility and current limitations of each method. Such applications include studying properties of heterogeneous colloidal dispersions, measuring colloidal interactions, monitoring stresses in soft materials, detecting molecular binding and aggregation, and following the motion of microorganisms in three dimensions. The combination of holographic microscopy and model-based analysis is well suited to applications where precise, quantitative results are needed with high acquisition speed. This Primer presents an overview of experimental methods and discusses three recent analysis techniques: fitting scattering models to the hologram using machine learning to localize and classify the specimen and a hybrid approach that uses machine learning to initialize fits. Unlike a conventional photograph, a hologram contains information about the phase of the scattered light that is useful for measuring the composition and 3D arrangement of microscopic objects in the specimen. Light scattered by the specimen interferes with the transmitted beam, and the intensity of that interference pattern constitutes a hologram. ![]() An in-line holographic microscope is an optical microscope outfitted with a coherent light source, such as a laser.
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