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Готові списки джерел за темами / Speckle

Добірка наукової літератури з теми "Speckle"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 1 червня 2024

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Статті в журналах з теми "Speckle":

1

Dove, Justin, and Jeffrey H. Shapiro. "Speckled speckled speckle." Optics Express 28, no. 15 (July 10, 2020): 22105. http://dx.doi.org/10.1364/oe.398226.

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2

Alexander, Katherine A., Ruofan Yu, Christine Faunce, Nicolas Skuli, Nathan Coffey, Son Nguyen, Nicholas Biddle, et al. "Abstract PR010: In-“speck”-ting the nucleus: Nuclear speckles are a critical layer of gene regulation that predict outcomes in clear cell renal cell carcinoma." Cancer Research 83, no. 16_Supplement (August 15, 2023): PR010. http://dx.doi.org/10.1158/1538-7445.kidney23-pr010.

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Abstract Nuclear speckles are dynamic substructures within the nucleus that contain a myriad of factors involved in gene activation. While nuclear speckles were discovered over 100 years ago, how they vary in human health and disease and the consequences of such variation remain enigmatic. Using RNA-seq data to estimate nuclear speckle content, we found that nuclear speckle phenotypes vary reproducibly in >20 cancer types. Of these cancers, nuclear speckle variation predicted patient outcomes specifically in clear cell renal cell carcinoma (ccRCC). This ccRCC speckle sensitivity was confirmed in a separate cohort using immunofluorescence to independently assess speckle phenotypes, and was specific to ccRCC with VHL mutation or copy number loss, suggesting involvement of the VHL-degraded HIF stress-responsive transcription factors. Given our previous findings linking nuclear speckles to another stress-responsive transcription factor, p53, we hypothesized that the speckle sensitivities we observed in ccRCC may be a consequence of as-of-yet uncharacterized speckle functions of HIF1A or HIF2A. Previously, we found that p53 drives DNA-speckle contacts of a subset of target genes to boost expression, revealing a novel method of transcription-factor-based gene regulation. However, the extent that DNA-speckle positioning is regulated by transcription factors other than p53, including the HIF transcription factors, is currently unclear. Critically, p53 and HIF2A, but not HIF1A, share a homologous protein motif, now coined the speckle targeting motif, that precisely overlaps with the region where we had mapped p53 DNA-speckle targeting abilities. Using genomic and imaging-based methods, we identified HIF2A as a second transcription factor that drives association between a subset of its target genes and nuclear speckles. Deletion of the HIF2A speckle targeting motifs ablated its DNA-speckle targeting functions, led to lower induction of speckle-associating genes, and resulted in a HIF2A-mediated gene expression program that more closely resembled the better-outcome ccRCC speckle patient group. Beyond p53 and HIF2A, we found that the speckle targeting motif occurs within hundreds of proteins and is specifically enriched among transcriptional regulators. These findings suggest that DNA-speckle targeting by transcription factors is potentially a wide-spread mechanism of gene regulation that may be manipulated by changing speckle-targeting abilities of transcription factors or by altering speckles themselves. For ccRCC, our findings reveal nuclear speckle phenotypes as novel prognostic indicators and illuminate nuclear speckles and HIF2A speckle-targeting abilities as new avenues for therapeutic development. Citation Format: Katherine A. Alexander, Ruofan Yu, Christine Faunce, Nicolas Skuli, Nathan Coffey, Son Nguyen, Nicholas Biddle, Catherine Li, Eric Joyce, Arjun Raj, M. Celeste Simon, Shelley Berger. In-“speck”-ting the nucleus: Nuclear speckles are a critical layer of gene regulation that predict outcomes in clear cell renal cell carcinoma [abstract]. In: Proceedings of the AACR Special Conference: Advances in Kidney Cancer Research; 2023 Jun 24-27; Austin, Texas. Philadelphia (PA): AACR; Cancer Res 2023;83(16 Suppl):Abstract nr PR010.

3

Ulyanov, Sergey S. "Speckle-interferometry and speckle-correlometry of GB-speckles." Frontiers in Bioscience 24, no. 4 (2019): 700–711. http://dx.doi.org/10.2741/4744.

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4

Freund, Isaac, and David A. Kessler. "Singularities in speckled speckle." Optics Letters 33, no. 5 (February 27, 2008): 479. http://dx.doi.org/10.1364/ol.33.000479.

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5

Blagova, T. V., and I. Sh Khasanov. "Contribution of wave aberrations represented by Zernike polynomials to the cross-correlation function between distorted and actual speckle patterns." Journal of Physics: Conference Series 2091, no. 1 (November 1, 2021): 012009. http://dx.doi.org/10.1088/1742-6596/2091/1/012009.

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Abstract Speckles are sensitive to the slightest inhomogeneities of the medium, which is used in optical research methods such as speckle interferometry. However, the stochastic nature of propagation of speckle fields complicates their accurate detection and processing. For example, aberrations in the optical system result in the decorrelation of the image of speckles with the actual speckles that are observed in free space. The report will consider the main types of wave aberrations of optical system and their influence on the correlation properties of speckle patterns. The research results can be used to optimize optical systems in which speckles play a significant role, for example, in classical ghost imaging.

6

Waterman-Storer, C. M., and W. C. Salmon. "Fluorescent Speckle Microscopy in Studies of Cytoskeletal Dynamics During Cell Motility." Microscopy and Microanalysis 7, S2 (August 2001): 6–7. http://dx.doi.org/10.1017/s1431927600026106.

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We have discovered a new method, Fluorescent Speckle Microscopy (FSM), for analyzing the dynamic movement and turnover of macromolecular protein assemblies, such as the cytoskeleton, in living cells (Waterman-Storer et al., 1998). FSM compliments or replaces the techniques of fluorescence recovery after photobleaching or photoactivation of fluorescence for measuring protein dynamics in vivo. For FSM, cells are microinjected with a very low fraction of fluorescently labeled subunits that co-assemble with unlabeled subunits to give a structure with a fluorescent speckled appearance in diffraction-limited wide-field or confocal digital fluorescence images. At low fractions of fluorescent subunits relative to unlabeled subunits, fluorescent speckles vary randomly in intensity according to the number of fluorescent subunits within a diffraction-limited region. in time-lapse FSM image series, movement of the fluorescent speckle pattern indicates translocation of structures, while changes in speckle intensity indicate subunit turnover. We have used FSM to study microtubule and actin behavior in interphase and mitotic cells. We use kymograph analysis to quantitate the movement of speckled structures (Fig 1) and are currently developing analysis procedures to quantify subunit turnover in structures.We have applied these methods to the study of microtubule and actin cytoskeletal dynamics in migrating vertebrate cells in culture. Interactions between the microtubule and actin cytoskeletons underlie fundamental cellular processes such as cytokinesis and cell locomotion, but are poorly understood.

7

Hu, Yan, Matt Plutz, and Andrew S. Belmont. "Hsp70 gene association with nuclear speckles is Hsp70 promoter specific." Journal of Cell Biology 191, no. 4 (November 8, 2010): 711–19. http://dx.doi.org/10.1083/jcb.201004041.

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Many mammalian genes localize near nuclear speckles, nuclear bodies enriched in ribonucleic acid–processing factors. In this paper, we dissect cis-elements required for nuclear speckle association of the heat shock protein 70 (Hsp70) locus. We show that speckle association is a general property of Hsp70 bacterial artificial chromosome transgenes, independent of the chromosome integration site, and can be recapitulated using a 2.8-kilobase HSPA1A gene fragment. Association of Hsp70 transgenes and their transcripts with nuclear speckles is transcription dependent, independent of the transcribed sequence identity, but dependent on the Hsp70 promoter sequence. Transgene speckle association does not correlate with the amount of transcript accumulation, with large transgene arrays driven by different promoters showing no speckle association, but smaller Hsp70 transgene arrays with lower transcript accumulation showing high speckle association. Moreover, despite similar levels of transcript accumulation, Hsp70 transgene speckle association is observed after heat shock but not cadmium treatment. We suggest that certain promoters may direct specific chromatin and/or transcript ribonucleoprotein modifications, leading to nuclear speckle association.

8

Salmon, E. D., and Clare M. Waterman. "How we discovered fluorescent speckle microscopy." Molecular Biology of the Cell 22, no. 21 (November 2011): 3940–42. http://dx.doi.org/10.1091/mbc.e11-07-0646.

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Fluorescent speckle microscopy (FSM) is a method for measuring the movements and dynamic assembly of macromolecular assemblies such as cytoskeletal filaments (e.g., microtubules and actin) or focal adhesions within large arrays in living cells or in preparations in vitro. The discovery of the method depended on recognizing the importance of unexpected fluorescence images of microtubules obtained by time-lapse recording of vertebrate epithelial cells in culture. In cells that were injected with fluorescent tubulin at ∼10% of the cytosol pool, microtubules typically appeared as smooth threads with a nearly constant fluorescence intensity. One day, when an unusually low concentration of fluorescent tubulin was injected into cells, the images from a sensitive cooled charge-coupled detector camera showed microtubules with an unusual “speckled” appearance—there were fluorescent dots with variable intensity and spacing along the microtubules. A first thought was that the speckles were an artifact. With further thought, we surmised that the speckles could be telling us something about stochastic association of tubulin dimers with the growing end of a microtubule. Numerous experiments confirmed the latter hypothesis. Subsequently the method we call FSM has proven to be very valuable. The speckles turned out not to be a meaningless artifact, but rather a serendipitous find.

9

Desai, K. M., C. R. Gwinn, J. Reynolds, E. A. King, D. Jauncey, G. Nicholson, C. Flanagan, R. A. Preston, and D. L. Jones. "Speckles in Interstellar Radio-Wave Scattering." International Astronomical Union Colloquium 131 (1991): 238–41. http://dx.doi.org/10.1017/s0252921100013385.

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AbstractObservations of speckles in the scattering disk of the Vela pulsar are presented and speckle techniques for studying and circumventing scattering of radio waves by the turbulent interstellar plasma are discussed. The speckle pattern contains, in a hologrammatic fashion, complete information on the structure of the radio source as well as the distribution of the scattering material. Speckle observations of interstellar scattering of radio waves are difficult because of their characteristically short timescales (≈seconds) and narrow bandwidths (≈kHz). Here, we present first observations, taken at 13 cm wavelength with elements of the SHEVE VLBI network, of speckles in interstellar scattering.

10

Ulianova, Onega, Yury Saltykov, Sergey Ulyanov, Sergey Zaytsev, Alexander Ulyanov, and Valentina Feodorova. "Discrimination of the SARS–CoV-2 strains using of coloured s-LASCA-imaging of GB-speckles, developed for the gene “S” nucleotide sequences." F1000Research 10 (June 22, 2022): 503. http://dx.doi.org/10.12688/f1000research.53214.4.

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Background: A recent bioinformatics technique involves changing nucleotide sequences into 2D speckles. This technique produces speckles called GB-speckles (Gene Based speckles). All classical strategies of speckle-optics, namely speckle-interferometry, subtraction of speckle-images as well as speckle-correlometry have been inferred for processing of GB-speckles. This indicates the considerable improvement in the present tools of bioinformatics. Methods: Colour s-LASCA imaging of virtual laser GB-speckles, a new method of high discrimination and typing of pathogenic viruses, has been developed. This method has been adapted to the detecting of natural mutations in nucleotide sequences, related to the spike glycoprotein (coding the gene «S») of SARS–CoV-2 gene as the molecular target. Results: The rate of the colouring images of virtual laser GB-speckles generated by s-LASCA can be described by the specific value of R. If the nucleotide sequences compared utilizing this approach the relevant images are completely identical, then the three components of the resulting colour image will be identical, and therefore the value of R will be equal to zero. However, if there are at least minimal differences in the matched nucleotide sequences, then the value of R will be positive. Conclusion: The high effectiveness of an application of the colour images of GB-speckles that were generated by s-LASCA- has been demonstrated for discrimination between different variants of the SARS–CoV-2 spike glycoprotein gene.

Більше джерел

Дисертації з теми "Speckle":

1

Andersson, Angelica. "Combined speckle interferometry and speckle correlation for non-destructive testing." Licentiate thesis, Luleå tekniska universitet, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17020.

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When a sample is studied during loading in a tensile test machine, the sample is often exposed to rigid body motions during loading at the same time as it deforms due to tension. Therefore, the small deformation field is hard, or impossible, to measure when it is overlaid by a large motion. The large rigid body motions can be measured with methods like speckle correlation (also called digital speckle photography, DSP), but the results might be of too poor accuracy to resolve the deformation field. Interferometric methods on the other hand might measure the deformation field but the rigid body motion makes the fringes disappear. In this thesis a method is presented that makes it possible to master such measuring situations, by a combination of speckle correlation and speckle interferometry (also called TV holography, ESPI or DSPI). Both theory and experiments are presented. It is shown that speckle correlation can determine the speckle motion in the recording in order to determine the small deformation field in the interferometric algorithm. Speckle correlation can also be used to determine the amount of shear in shearography allowing a quantitative determination of the spatial derivative of the deformation field.
Godkänd; 2000; 20070318 (ysko)

2

Grantham, Stephen Gary. "Digital speckle radiography." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619648.

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3

Alaimo, M. D. "Heterodyne speckle velocimetry." Doctoral thesis, Università degli Studi di Milano, 2007. http://hdl.handle.net/2434/61272.

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4

Huang, Jen-Rong. "Optoelectronic speckle shearing interferometry." Thesis, Cranfield University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309680.

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5

Atcha, Hashim. "Optoelectronic speckle pattern interferometry." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282405.

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6

Evanschitzky, Peter. "Simulationsgestützte Oberflächendiagnostik mittels Speckle-Interferometrie." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965479129.

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7

An, Wei. "Industrial applications of speckle techniques." Doctoral thesis, KTH, Production Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3342.

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8

Syratt, Richard William. "Angular correlations of speckle patterns." Thesis, Imperial College London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261820.

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9

Rodrigues, Silvestre. "Efeito estocastico em Speckle dinamico." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/257030.

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Анотація:

Orientadores: Inacia Maria Dal Fabbro, Roberto Alves Braga Junior
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola
Made available in DSpace on 2018-08-09T03:56:10Z (GMT). No. of bitstreams: 1 Rodrigues_Silvestre_D.pdf: 5874424 bytes, checksum: f82d98473ad716d4bbdd08a46b90d886 (MD5) Previous issue date: 2007
Resumo: Este trabalho tem por objetivo contribuir para o desenvolvimento de uma metodologia de análise de vitalidade de tecidos vivos, por meio de um modelo estocástico destinado a interpretar e quantificar Padrão associadas ao fenômeno conhecido como biospeckle ou speckle dinâmico, e geradas a partir da interação de luz coerente com materiais biológicos ou com sistemas particulados passíveis de fenômenos dinâmicos, à semelhança do movimento browniano. O biospeckle é formado pela mudança do padrão de interferência quando a luz coerente incide no tecido biológico ou no sistema particulado, gerando Padrão que podem ser observadas e apropriadamente capturadas. O material biológico tanto quanto o sistema particulado exibem transformações superficiais e internas ao longo do tempo, apresentando-se à luz coerente como uma rede de difração dinâmica. Através de tratamento digital das Padrão coletadas para retratação do fenômeno, é possível diferenciar níveis de atividades biológicas nos tecido em estudo. A análise de Padrão associadas ao biospeckle apresenta um comportamento típico estocástico, sugerindo um estudo estatístico probabilístico do comportamento da padrão, seja por movimento browniano, entropia ou outro modelo aplicável a fenômenos aleatórios. Para o estudo desses fenômenos, este trabalho abordou a viabilidade de sementes, senescência de tecidos biológicos, além de uma simulação de movimento browniano com sistemas particulados. Os resultados mostraram que as Padrão geradas pelo método STS (Spatial Temporal Speckle) se comportam de maneira totalmente aleatória, sendo difícil eleger um modelo que possa quantificar essas Padrão. Ao contrário, nas Padrão geradas pelo método MOC (Matriz de Ocorrência), o efeito ¿caos¿ observado nas Padrão anteriores é minimizado, tornando-se então passíveis de serem quantificadas pela entropia, que gerou um padrão semelhante ao apresentado pelo método denominado ¿Momento de Inércia¿. Palavras Chaves: Imagens, sementes, senescência
Abstract: This research work had the objective of contributing to the development of a methodology applicable to biological tissues vitality analysis by means of a stochastic model. The conceived and tested model is able to interpret as well as to quantify the biospeckle images generated on living tissues. The biospeckle or dynamic speckle phenomenon is generated from the interaction of a coherent light with living tissues or with body surface exhibiting certain kinds of activities. In other words, the biospeckle phenomenon is observed when interfering patterns generated by the incidence of coherent light on a surface exhibiting some kind of dynamic or biological activities change at certain rate. Biological tissues, as well as particles in suspension exhibit dynamic activities, similar to brownian motion, acting as a dynamic diffraction grid to the coherent light. By capturing and processing biospeckle images it is possible to differentiate levels of biological or dynamic activities in the body under study. Dynamic speckle image analysis presents a typical stochastic behavior, suggesting a probabilistic statistical study of image behavior, as brownian motion, entropy or other kind of model associated to random phenomenon. Toward that sense, seed viability analysis, vegetative tissue senescence, as well as brownian motion simulation tests had been carried out. Results indicate that STS (Spatial Temporal Speckle) images show random behavior, impeding quantitative analysis. In opposition, MOC (Matrix Occurrence) images or occurrence matrix, where the chaos effect is minimized, are susceptible to quantifying analysis, similarly to the ¿moment of inertia¿ method. Key words: Image, seed, senescence
Doutorado
Maquinas Agricolas
Doutor em Engenharia Agrícola

10

Conrad, III Dallis G. "Speckle Statistics of Articulating Objects." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1320673424.

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Книги з теми "Speckle":

1

S, Sirohi R., ed. Speckle metrology. New York: Marcel Dekker, 1993.

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2

Dodson, Emma. Speckle the spider. Somerville: Candlewick Press, 2010.

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3

Dodson, Emma. Speckle the spider. Somerville: Candlewick Press, 2010.

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4

Gonc̦alves, Armando Albertazzi, and Guillermo H. Kaufmann. Speckle 2010: Optical metrology :13-15 September 2010, Florianópolis, Brazil. Edited by SPIE (Society), Universidade Federal de Santa Catarina. Labmetro, Society for Experimental Mechanics (U.S.), and Conselho Nacional de Desenvolvimento Científico e Tecnológico. Bellingham, Wash: SPIE, 2010.

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5

Jacquot, Pierre, and Jean-Marc Fournier, eds. Interferometry in Speckle Light. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57323-1.

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6

Pierre, Slangen, Cerruti Christine, Ecole des mines d'Alès, SPIE Europe, and Society of Photo-optical Instrumentation Engineers., eds. Speckles, from grains to flowers: Speckle06 : 13-15 September, 2006, Nîmes, France. Bellingham, Wash: SPIE, 2006.

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7

International Conference on Speckle (1985 San Diego, Calif.). International Conference on Speckle: August 20-23, 1985, San Diego, California. Edited by Arsenault Henri H, University of Arizona. Optical Sciences Center., University of Rochester. Institute of Optics., and Society of Photo-optical Instrumentation Engineers. Bellingham, Wash., USA: SPIE--the International Society for Optical Engineering, 1985.

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8

Bloise, Felix Salazar. Speckle photography and speckle interferonmetry and their applications to mechanic solid problems. Kerala, India: Research Signpost, 2008.

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9

J, Rabal Hector, and Braga Roberto A. Jr, eds. Dynamic laser speckle and applications. Boca Raton: CRC/Taylor & Francis, 2009.

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10

S, Sirohi R., and Society of Photo-optical Instrumentation Engineers., eds. Selected papers on speckle metrology. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1991.

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Частини книг з теми "Speckle":

1

Yadav, Rahul. "Laser Speckle." In Encyclopedia of Ophthalmology, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35951-4_635-1.

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2

Donges, Axel, and Reinhard Noll. "Speckle Metrology." In Springer Series in Optical Sciences, 195–225. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43634-9_8.

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3

Christou, J. C. "Speckle Interferometry." In Highlights of Astronomy, 561–62. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0977-9_88.

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4

Yadav, Rahul. "Laser Speckle." In Encyclopedia of Ophthalmology, 1032–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-540-69000-9_635.

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5

Weik, Martin H. "speckle effect." In Computer Science and Communications Dictionary, 1629. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17861.

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6

Weik, Martin H. "speckle noise." In Computer Science and Communications Dictionary, 1629. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17862.

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7

Weik, Martin H. "speckle pattern." In Computer Science and Communications Dictionary, 1629–30. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17863.

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8

Gan, Yimin, and Wolfgang Steinchen. "Speckle Methods." In Springer Handbook of Experimental Solid Mechanics, 655–74. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30877-7_23.

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9

Schnars, Ulf, Claas Falldorf, John Watson, and Werner Jüptner. "Speckle Metrology." In Digital Holography and Wavefront Sensing, 185–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44693-5_8.

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10

Healey, A. J., and S. Leeman. "Speckle Definitions." In Acoustical Imaging, 259–69. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1943-0_26.

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Тези доповідей конференцій з теми "Speckle":

1

Wu, X. P., S. Q. Shen, and Fu-Pen Chiang. "Chromatic speckle: its characteristics and applications." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.tuf10.

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It is well known that when a diffusing surface is illuminated by a coherent or quasi-monochromatic light source, a volume of random speckle is created. We examine a new phenomenon: when a diffusing surface is illuminated by a broad bandlimited or even white-light source (e.g., incandescent lamp, arc lamp, or sunlight) a field of colored speckles exists in the region near the rough surface. We refer to them as chromatic speckles. In this article we explore the statistical properties of the chromatic speckle, its 3-D size and its relationship to the roughness of the generating surface. We also explore the use of chromatic speckle to metrology. Compared with laser speckle and random pattern photography, the chromatic speckle method has many advantages. For example, it requires only a simple white-light source for recording. The chromatic specklegram can also be processed by white light resulting in low noise fringes. In addition, because of the longer axial length of the chromatic speckle the method can be applied to measuring out-of-plane as well as inplane deformations. Experimental results are presented.

2

Goodman, Joseph W. "The ubiquitous speckle phenomenon." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695251.

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3

Federico, Alejandro, and Guillermo H. Kaufmann. "Multifractals and dynamic speckle." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695839.

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4

Hanson, Steen G., Theis Faber Quist F. Q. Iversen, and René Skov Hansen. "Dynamic properties of speckled speckles." In Speckle 2010, edited by Armando Albertazzi Goncalves, Jr. and Guillermo H. Kaufmann. SPIE, 2010. http://dx.doi.org/10.1117/12.870934.

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5

Orteu, Jean-José, Dorian Garcia, Laurent Robert, and Florian Bugarin. "A speckle texture image generator." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695280.

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6

Carvalho, O., S. Guyot, L. Roy, M. Benderitter, and B. Clairac. "Speckle: tool for diagnosis assistance." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695858.

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7

Marron, Joseph, and G. Michael Morris. "Image recognition in the presence of speckle." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.mj5.

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Techniques for performing digital image recognition on speckled images are presented. Rather than performing speckle reduction, the speckled image is correlated directly with a reference function. Statistical properties of the correlation value are derived using the multiplicative noise model for image plane speckle. It follows that the correlation value is a Gaussian random variable. Statistical detection theory dictates that images are distinguishable when the standard derivations of the correlation values are small compared to the separation of the mean values. Several reference functions are considered for both intensity correlation and correlation for which the input speckled images are clipped. One reference function considered is the incoherent image of the desired object: another is the maximum-likelihood reference function. Experiments performed on planar rough objects indicate good agreement between theory and experiment. The best ability to discriminate is obtained using the maximum-likelihood reference function.

8

Piederrière, Y., F. Boulvert, G. Le Brun, B. Le Jeune, Y. Guern, and J. Cariou. "Speckle and polarization for biomedical applications." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695257.

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9

Yamaguchi, Ichirou, Takashi Ida, Masayuki Yokota, and Koichi Kobayashi. "Material testing by digital speckle correlation." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695274.

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10

Chiang, Fu-pen. "Electron speckle photography: some recent advances." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695368.

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Звіти організацій з теми "Speckle":

1

Strittmatter, P. A., and E. K. Hege. Speckle Image Reconstruction. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada158653.

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2

Crimmins, Thomas R. Geometric Speckle Reduction. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada174628.

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3

George, Nicholas. Image Science Research for Speckle-based LADAR (Speckle Research for 3D Imaging LADAR). Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada482686.

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4

McAlister, Harold A. Astronomical Observations by Speckle Interferometry. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada170069.

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5

George, Nicholas. Speckle Research for 3D Imaging LADAR. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada544760.

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6

Carrano, C. Optical System Case Studies for Speckle Imaging. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1108865.

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7

Carrano, C. Enhanced Video Surveillance (EVS) with speckle imaging. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/15009764.

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8

Noyes, Robert W., Peter Nisenson, Costas Papaliolios, and Robert V. Stachnik. High Resolution Astrophysical Observations Using Speckle Imaging. Fort Belvoir, VA: Defense Technical Information Center, April 1986. http://dx.doi.org/10.21236/ada170430.

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9

Mason, Brian, William I. Hartkopf, Douglas R. Gies, Todd J. Henry, and Andrei A. Tokovinin. Speckle Interferometry of Massive and Cluster Stars. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada480126.

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10

Bowers, M. W., C. Kecy, L. Little, J. Cooke, J. Benterou, R. Boyd, and T. Birks. Speckle Reduction for LIDAR Using Optical Phase Conjugation. Office of Scientific and Technical Information (OSTI), February 2001. http://dx.doi.org/10.2172/15013526.

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