Relevant bibliographies by topics / TIRF Deconvolution

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'TIRF Deconvolution'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "TIRF Deconvolution"

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Fan, Junchao, Xiaoshuai Huang, Liuju Li, Liangyi Chen, and Shan Tan. "One-step deconvolution for multi-angle TIRF microscopy with enhanced resolution." Biomedical Optics Express 10, no. 3 (2019): 1097. http://dx.doi.org/10.1364/boe.10.001097.

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Huang, Shaohui, Lawrence Lifshitz, Karl Bellve, Clive Standley, Kevin Fogarty, and Michael Czech. "High-speed Super-resolution Imaging through Interpolated Deconvolution of Live-cell TIRF Images." Biophysical Journal 96, no. 3 (2009): 639a—640a. http://dx.doi.org/10.1016/j.bpj.2008.12.3382.

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Salem, Deepak, and Arpita Upadhyaya. "Increased Expression of Cytoskeleton Coordinator Protein MACF1 at the Immune Synapse during Jurkat T Cell Activation." Blood 136, Supplement 1 (2020): 28–29. http://dx.doi.org/10.1182/blood-2020-140436.

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Introduction: Activation of the T cell Receptor (TCR) by antigen on the surface of an Antigen Presenting Cell (APC) leads to a dramatic change in T cell morphology and formation of a specialized signaling interface with the APC known as the Immune Synapse (IS). The IS allows for controlled cytokine secretion and is an important regulator of T cell activation. IS formation has been found to be dysfunctional in many immune disorders including T cell acute lymphoblastic leukemia (ALL).The actin and microtubule (MT) cytoskeletons have individually been implicated in regulating both IS formation an
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A Nwos Prisca-Gaelle, Bien, Mounchili Ibrahim, Apouamoun Yiagnigni Roland, Etoundi Jean, Ndongue Constantin, and Meying Arsene. "THE CONTRIBUTION OF REMOTE SENSING AND AEROMAGNETISM TO GOLD PROSPECTING: THE CASE OF THE MEIGANGA ZONE, CAMEROON." International Journal of Advanced Research 9, no. 5 (2021): 775–93. http://dx.doi.org/10.21474/ijar01/12903.

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In order to optimize gold prospecting in the Meiganga zone located in the Adamaoua region of Cameroon, aeromagnetic and remote sensing prospecting was carried out in the eastern and southern parts. The remote sensing approach on a Landsat 8 OLI/TIRS image highlighted areas of maximum gold concentration. Thus, ferric ion bearing minerals are located in the North-West, silicate minerals bearing ferrous ions are in the Centre while clay minerals are in the North-East and East. The principal component analysis revealed important structural information. The PCA Spatial Map (PC1, PC2, PC3) showed th
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Hugelier, Siewert, Johan J. de Rooi, Romain Bernex, et al. "Sparse deconvolution of high-density super-resolution images." Scientific Reports 6, no. 1 (2016). http://dx.doi.org/10.1038/srep21413.

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Abstract In wide-field super-resolution microscopy, investigating the nanoscale structure of cellular processes, and resolving fast dynamics and morphological changes in cells requires algorithms capable of working with a high-density of emissive fluorophores. Current deconvolution algorithms estimate fluorophore density by using representations of the signal that promote sparsity of the super-resolution images via an L1-norm penalty. This penalty imposes a restriction on the sum of absolute values of the estimates of emitter brightness. By implementing an L0-norm penalty – on the number of fl
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Espósito, L. H., E. S. Velasco, and A. J. Marzocca. "Prediction of Adhesion Friction Coefficient Using Two Different Models for Tire Tread Rubber Compounds." Tire Science and Technology, June 4, 2021. http://dx.doi.org/10.2346/tire.21.20001.

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ABSTRACT Two proposed methods to determine the adhesion friction coefficient were validated by experimental results of two types of rubber compounds at different sliding velocities under dry conditions. The experimental results were measured from a linear friction tester, while the viscoelastic friction coefficient was estimated using the Persson's contact theory. Adhesive friction (model 1) was derived from the deconvolution of dry friction coefficient in two Gaussian-like curves. Interesting results were obtained using the deconvoluted method in the range of intermediate sliding velocities w
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Engquist, Elise N., Anna Greco, Leo A. B. Joosten, Baziel G. M. van Engelen, Peter S. Zammit, and Christopher R. S. Banerji. "FSHD muscle shows perturbation in fibroadipogenic progenitor cells, mitochondrial function and alternative splicing independently of inflammation." Human Molecular Genetics, October 19, 2023. http://dx.doi.org/10.1093/hmg/ddad175.

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Abstract Facioscapulohumeral muscular dystrophy (FSHD) is a prevalent, incurable myopathy. FSHD is highly heterogeneous, with patients following a variety of clinical trajectories, complicating clinical trials. Skeletal muscle in FSHD undergoes fibrosis and fatty replacement that can be accelerated by inflammation, adding to heterogeneity. Well controlled molecular studies are thus essential to both categorise FSHD patients into distinct subtypes and understand pathomechanisms. Here, we further analysed RNA-sequencing data from 24 FSHD patients, each of whom donated a biopsy from both a non-in
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Luo, Guanqun, Weimin Wang, Wen Xie, Yuanjun Tang, Yousheng Xu, and Kaige Wang. "Co-pyrolysis of corn stover and waste tire: Pyrolysis behavior and kinetic study based on Fraser-Suzuki deconvolution procedure." Journal of Analytical and Applied Pyrolysis, October 2022, 105743. http://dx.doi.org/10.1016/j.jaap.2022.105743.

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Dissertations / Theses on the topic "TIRF Deconvolution"

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Viswanath, Sanjay. "Spatially Adaptive Regularization for Image Restoration." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5646.

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Image restoration/reconstruction refers to the estimation of an underlying image from measurements generated by imaging devices. This problem is generally ill-posed since the measurements are corrupted by the physical limitations of the imaging device, and the inherent noise involved in the measurement process. There are three main classes of methods in the current literature. The first class of methods is based on regularization framework that enforces an ad-hoc prior on the restored image. The second class of methods uses regression-based learning paradigms, where a training set of cle
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Conference papers on the topic "TIRF Deconvolution"

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Soubies, Emmanuel, Laure Blanc-Feraud, Sebastien Schaub, and Ellen Van Obberghen-Schilling. "Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation." In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). IEEE, 2019. http://dx.doi.org/10.1109/isbi.2019.8759103.

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Vanderlinde, William E., and James N. Caron. "Blind Deconvolution of SEM Images." In ISTFA 2007. ASM International, 2007. http://dx.doi.org/10.31399/asm.cp.istfa2007p0097.

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Abstract Blind deconvolution techniques were used to enhance scanning electron microscope (SEM) images in the range of 200,000x to 500,000x magnification. Typical SEM samples were imaged including a gold island reference standard, a plasma delayered integrated circuit, and an integrated circuit cross section. Image resolution improvement up to 40% was observed. However, it was necessary to use 16-bit TIFF images with greater than 120:1 signal to noise ratio, which required 10 minute frame times.
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Coskun, Ahmet F., Ting-Wei Su, and Aydogan Ozcan. "Lensless On-Chip Fluorescent Imaging Over an Ultra Wide Field-of-View." In ASME 2010 5th Frontiers in Biomedical Devices Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/biomed2010-32016.

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We introduce a lensless high-throughput fluorescent detection modality that can simultaneously image micro-objects and labeled cells over an ultra-wide field-of-view (FOV) of ∼8cm2 without the use of any lenses, thin-film filters and mechanical scanners. This lensfree platform utilizes total-internal-reflection (TIR) to block the excitation light, and an inexpensive absorption filter to remove the weakly scattered light that does not obey TIR. The emitted fluorescent light from the objects is then detected on the same chip without the use of any lenses. A digital deconvolution algorithm is use
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Devriendt, Harald, Frank Naets, Peter Kindt, and Wim Desmet. "Inverse Reconstruction of the Spatial Distribution of Dynamic Tire-Road Contact Forces in Time Domain Using Impulse Response Matrix Deconvolution for Different Measurement Types." In Noise and Vibration Conference & Exhibition. SAE International, 2021. http://dx.doi.org/10.4271/2021-01-1061.

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