Academic literature on the topic 'Optical transfer function'

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Journal articles on the topic "Optical transfer function"

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Wang, Yuan Sheng, Gui Ying Lu, and Bo Li. "Discuss about Linear System Transfer Function and Optical Transfer Function." Applied Mechanics and Materials 275-277 (January 2013): 756–60. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.756.

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Transfer function (TF) for linear time invariant system and optical transfer function (OTF) for linear space shaft invariant system are compared and contrasted. TF is the unilateral Laplace transform of system’s one-dimensional unit impulse response, dimensions of the input and output may be same or different, TF can be used to describe a variety of filter or to express solution of linear differential equations accurately. But OTF is the Fourier transform of system’s two-dimensional impulse response, dimensions of the input and output must be same, OTF can be used only to describe a low-pass filter or to express solution of the linear univariate partial differential equations approximately. Their eigenfunctions are similar complex exponential functions. OTF has stricter requirements and application conditions than TF. It is helpful to the readers’ understanding of TF and OTF.
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Victoria, Marta, César Domínguez, Steve Askins, Ignacio Antón, and Gabriel Sala. "Characterizing FluidReflex Optical Transfer Function." Japanese Journal of Applied Physics 51 (October 22, 2012): 10ND06. http://dx.doi.org/10.1143/jjap.51.10nd06.

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Victoria, Marta, César Domínguez, Steve Askins, Ignacio Antón, and Gabriel Sala. "Characterizing FluidReflex Optical Transfer Function." Japanese Journal of Applied Physics 51, no. 10S (October 1, 2012): 10ND06. http://dx.doi.org/10.7567/jjap.51.10nd06.

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Bai, Yu, Jiaqi Chen, Qi Lu, and Zhenming Zhao. "Optical transfer function and aberration." Optik 206 (March 2020): 164243. http://dx.doi.org/10.1016/j.ijleo.2020.164243.

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Parks, Robert E. "ISO addresses optical transfer function." Optics News 13, no. 5 (May 1, 1987): 32. http://dx.doi.org/10.1364/on.13.5.000032.

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Shinbo, Tomohiro, Akihiro Takashima, Takashi Ono, and Hiromitsu Ishii. "Optical transfer function of binocular image-intensifier system." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 74, Appendix (1990): 139. http://dx.doi.org/10.2150/jieij1980.74.appendix_139.

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Codona, Johanan L. "Differential optical transfer function wavefront sensing." Optical Engineering 52, no. 9 (September 20, 2013): 097105. http://dx.doi.org/10.1117/1.oe.52.9.097105.

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Kapadia, Phiroze. "Introduction to the Optical Transfer Function." Optics & Laser Technology 36, no. 6 (September 2004): 515–16. http://dx.doi.org/10.1016/j.optlastec.2004.01.015.

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Greenaway, A. H. "Introduction to the optical transfer function." Optics & Laser Technology 22, no. 3 (June 1990): 218. http://dx.doi.org/10.1016/0030-3992(90)90113-i.

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Díaz, José A., and José M. Medina. "The optical transfer function and the Meijer-G function." Optik 137 (May 2017): 175–85. http://dx.doi.org/10.1016/j.ijleo.2017.02.084.

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Dissertations / Theses on the topic "Optical transfer function"

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Schwiegerling, Jim. "Optical transfer function expansion of quadratic pupils." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/627185.

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Quadratic pupils representing Gaussian apodization and defocus are expanded into Zernike polynomials. Combinations of the pupil expansion coefficients are used, in turn to expand the Optical Transfer Function into a novel set of basis functions.
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Chang, Ken Kai-fu 1973. "Simulation of nonlinear optic-fibre communication systems using Volterra series transfer function techniques." Monash University, Dept. of Electrical and Computer Systems Engineering, 2002. http://arrow.monash.edu.au/hdl/1959.1/7758.

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Schwiegerling, Jim. "Linear decomposition of the optical transfer function for annular pupils." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626490.

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A technique for decomposing the Optical Transfer Function (OTF) into a novel set of basis functions has been developed. The decomposition provides insight into the performance of optical systems containing both wavefront error and apodization, as well as the interactions between the various components of the pupil function. Previously, this technique has been applied to systems with circular pupils with both uniform illumination and Gaussian apodization. Here, systems with annular pupils are explored. In cases of annular pupil with simple defocus, analytic expressions for the OTF decomposition coefficients can be calculated. The annular case is not only applicable to optical systems with central obscurations, but the technique can be extended to systems with multiple ring structures. The ring structures can have constant area as is often found in zone plates and diffractive lenses or the rings can have arbitrary areas. Analytic expressions for the OTF decomposition coefficients again can be determined for ring structures with constant and quadratic phase variations. The OTF decomposition provides a general tool to analyze and compare a diverse set of optical systems.
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Fang, Yi-chin. "Performance evaluation of discrete IR optical system." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270211.

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Fink, Charles G. "A study of the brain's transfer function for edge perception /." Online version of thesis, 1987. http://hdl.handle.net/1850/11189.

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Díaz, José Antonio, and Virendra N. Mahajan. "Diffraction and geometrical optical transfer functions: calculation time comparison." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626488.

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In a recent paper, we compared the diffraction and geometrical optical transfer functions (OTFs) of an optical imaging system, and showed that the GOTF approximates the DOTF within 10% when a primary aberration is about two waves or larger [Appl. Opt., 55, 3241-3250 (2016)]. In this paper, we determine and compare the times to calculate the DOTF by autocorrelation or digital autocorrelation of the pupil function, and by a Fourier transform (FT) of the point-spread function (PSF); and the GOTF by a FT of the geometrical PSF and its approximation, the spot diagram. Our starting point for calculating the DOTF is the wave aberrations of the system in its pupil plane, and the ray aberrations in the image plane for the GOTF. The numerical results for primary aberrations and a typical imaging system show that the direct integrations are slow, but the calculation of the DOTF by a FT of the PSF is generally faster than the GOTF calculation by a FT of the spot diagram.
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Wang, Shu-i. 1964. "Three-dimensional incoherent optical transfer function in the presence of third-order spherical aberration." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276968.

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We derive the expression for the three-dimensional incoherent optical transfer function when third-order spherical aberration is present. The normalized version of the transfer function is numerically calculated for various amounts of spherical aberration. We find the effects of the aberration to be highly dependent on the spatial frequency in the longitudinal direction. We also calculate a structure content parameter, as a quality criterion, from the normalized transfer function. Remarkably, the structure content parameter dependence on spherical aberration is well-fit by a simple Cauchy curve for aberrations out to two waves at the margin.
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Lee, Yim Kul. "Nonlinear image processing and pattern analysis by rotating kernel transformation and optical fourier transform." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/14717.

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Levin, Marcy E. "The use of edge gradient analysis on chrome and emulsion photomasks to determine modulation transfer functions /." Online version of thesis, 1985. http://hdl.handle.net/1850/10148.

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Johnson, David C. "A shift variant filter applied to edge trace analysis /." Online version of thesis, 1989. http://hdl.handle.net/1850/11357.

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Books on the topic "Optical transfer function"

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1915-, Becklund Orville A., ed. Introduction to the optical transfer function. Bellingham, Wash: SPIE Press, 2002.

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1915-, Becklund Orville A., ed. Introduction to the optical transfer function. New York: Wiley, 1989.

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Birch, K. G. Optical transfer function measurement intercomparison. Luxembourg: Commission of the European Communities, 1988.

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Boreman, G. D. Modulation transfer function in optical and electro-optical systems. Bellingham, Wash: SPIE Press, 2001.

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R, Baker L., ed. Selected papers on optical transfer function: Measurement. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1992.

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Williams, T. L. The optical transfer function of imaging systems. Bristol: Institute of Physics Publishing, 1995.

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R, Baker L., ed. Selected papers on optical transfer function: Foundation and theory. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1992.

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Montgomery, H. E. Sensor performance analysis. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Montgomery, H. E. Sensor performance analysis. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Montgomery, H. E. Sensor performance analysis. Greenbelt, Md: Goddard Space Flight Center, 1990.

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Book chapters on the topic "Optical transfer function"

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Gu, Min. "Transfer Function Analysis." In Advanced Optical Imaging Theory, 71–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-48471-4_4.

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Weik, Martin H. "optical fiber transfer function." In Computer Science and Communications Dictionary, 1174. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13055.

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Lin, Psang Dain. "Point Spread Function and Modulation Transfer Function." In Springer Series in Optical Sciences, 163–86. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-79-6_6.

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Zege, Eleonora P., Arkadii P. Ivanov, and Iosif L. Katsev. "Optical Transfer Function of a Scattering Medium." In Image Transfer Through a Scattering Medium, 186–218. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75286-5_6.

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Petrov, Viktor M., and Roman V. Kiyan. "Optical Coder with A Synthesized Transfer Function for Optical Communication Lines." In Lecture Notes in Computer Science, 705–11. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23126-6_64.

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Hwang, Chi-Hung, Wei-Chung Wang, Yung-Hsiang Chen, Te-Heng Hung, and Jia-He Chen. "Indicating DIC Potential Correlation Errors with Optical Modulation Transfer Function." In Advancement of Optical Methods in Experimental Mechanics, Volume 3, 137–44. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00768-7_16.

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Sakamoto, Shuichi, Takatsune Narumi, Yuichi Toyoshima, Nobuaki Murayama, Toru Miyairi, and Akira Hoshino. "Sound Attenuation for Dogs Barking Using of Transfer Function Method." In Advancement of Optical Methods in Experimental Mechanics, Volume 3, 153–60. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06986-9_16.

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Bianco, Bruno, Francesco Beltrame, Bruno S. Serpico, and Gianni Vernazza. "Image Restoration in Digital Radiography through Measurements of Optical Transfer Function." In Computer Assisted Radiology / Computergestützte Radiologie, 237–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-52247-5_38.

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Yin, Xin, Yaqiu Sun, Shidong Song, and Xueyan Ma. "A Target Tracking Algorithm Based on Optical Transfer Function and Normalized Cross Correlation." In The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems, 1021–27. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00536-2_118.

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Pulvermacher, H. "Optical Transfer Functions." In Physics Experiments Using PCs, 219–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-79462-9_9.

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Conference papers on the topic "Optical transfer function"

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Gaffard, Jean-Paul, and Guy Ledanois. "Adaptive optical transfer function modeling." In San Diego, '91, San Diego, CA, edited by Mark A. Ealey. SPIE, 1991. http://dx.doi.org/10.1117/12.48792.

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Gaffard, Jean-Paul, and Corinne Boyer. "Adaptive optical transfer function modeling." In Orlando '91, Orlando, FL, edited by Hatem N. Nasr and Michael E. Bazakos. SPIE, 1991. http://dx.doi.org/10.1117/12.45733.

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Zhang, Liangjun, Xinhua Chen, Yuheng Chen, Yiqun Ji, Chunchang Xiang, and Weimin Shen. "Optical design of optical transfer function instrument." In International Conference on Optical Instrumentation and Technology, edited by Yongtian Wang, Yunlong Sheng, and Kimio Tatsuno. SPIE, 2009. http://dx.doi.org/10.1117/12.837943.

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Sheppard, Colin J. R., and Kieran G. Larkin. "Joint Distribution Functions and the Generalized Optical transfer Function." In INFORMATION OPTICS: 5th International Workshop on Information Optics (WIO'06). AIP, 2006. http://dx.doi.org/10.1063/1.2361209.

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St-Hilaire, Pierre. "Modulation transfer function of holographic stereograms." In International Conferences on Optical Fabrication and Testing and Applications of Optical Holography, edited by Toshio Honda. SPIE, 1995. http://dx.doi.org/10.1117/12.215324.

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Kidger, Michael J., and Paul Benham. "Optimization of the optical transfer function." In 1990 Intl Lens Design Conf, edited by George N. Lawrence. SPIE, 1991. http://dx.doi.org/10.1117/12.47893.

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Lu, Shaojun, Xiaolin Zhang, Rongli Guo, Dong Xia, Jianming Yu, and Jun Han. "Research on measuring optical transfer function." In Photonics Asia 2010, edited by Yongtian Wang, Julie Bentley, Chunlei Du, Kimio Tatsuno, and Hendrik P. Urbach. SPIE, 2010. http://dx.doi.org/10.1117/12.871724.

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Zhang, Yixin, Linghua Chen, Tuo Zhu, and Zhengning Tang. "Optical transfer function of noncoated paper." In International Conference on Holography and Optical Information Processing, edited by Guoguang Mu, Guofan Jin, and Glenn T. Sincerbox. SPIE, 1996. http://dx.doi.org/10.1117/12.263113.

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Milster, Tomas D., and Craig H. Curtis. "Transfer function characteristics of superresolving systems." In Optical Data Storage Topical Meeting, edited by Donald B. Carlin, David B. Kay, and Alfred A. Franken. SPIE, 1992. http://dx.doi.org/10.1117/12.137532.

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Kopeika, Norman S. "Aerosol modulation transfer function: an overview." In Optical Science, Engineering and Instrumentation '97, edited by Luc R. Bissonnette and Christopher Dainty. SPIE, 1997. http://dx.doi.org/10.1117/12.283885.

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Reports on the topic "Optical transfer function"

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Yang, Shao. Transfer functions for characterizing multimode optical fiber components. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.3997.

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Wolfe, C. R., J. D. Downie, and J. K. Lawson. Measuring the spatial frequency transfer function of phase measuring interferometers for laser optics. Office of Scientific and Technical Information (OSTI), June 1996. http://dx.doi.org/10.2172/281674.

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Letcher, Theodore, Julie Parno, Zoe Courville, Lauren Farnsworth, and Jason Olivier. A generalized photon-tracking approach to simulate spectral snow albedo and transmittance using X-ray microtomography and geometric optics. Engineer Research and Development Center (U.S.), June 2023. http://dx.doi.org/10.21079/11681/47122.

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A majority of snow radiative transfer models (RTMs) treat snow as a collection of idealized grains rather than an organized ice–air matrix. Here we present a generalized multi-layer photon-tracking RTM that simulates light reflectance and transmittance of snow based on X-ray micro- tomography images, treating snow as a coherent 3D structure rather than a collection of grains. The model uses a blended approach to expand ray-tracing techniques applied to sub-1 cm3 snow samples to snowpacks of arbitrary depths. While this framework has many potential applications, this study’s effort is focused on simulating reflectance and transmittance in the visible and near infrared (NIR) through thin snow- packs as this is relevant for surface energy balance and remote sensing applications. We demonstrate that this framework fits well within the context of previous work and capably reproduces many known optical properties of a snow surface, including the dependence of spectral reflectance on the snow specific surface area and incident zenith angle as well as the surface bidirectional reflectance distribution function (BRDF). To evaluate the model, we compare it against reflectance data collected with a spectroradiometer at a field site in east-central Vermont. In this experiment, painted panels were inserted at various depths beneath the snow to emulate thin snow. The model compares remarkably well against the reflectance measured with a spectroradiometer, with an average RMSE of 0.03 in the 400–1600 nm range. Sensitivity simulations using this model indicate that snow transmittance is greatest in the visible wavelengths, limiting light penetration to the top 6 cm of the snowpack for fine-grain snow but increasing to 12 cm for coarse-grain snow. These results suggest that the 5% transmission depth in snow can vary by over 6 cm according to the snow type.
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Montville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.

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This project relates the structure of the bacteriocin molecule (which is genetically determined) to its antimicrobial function. We have sequenced the 19,542 bp pediocin plasmid pMD136 and developed a genetic transfer system for pediococci. The pediocin A operon is complex, containing putative structural, immunity, processing, and transport genes. The deduced sequence of the pediocin A molecule contains 44 amino acids and has a predicted PI of 9.45. Mechanistic studies compared the interaction of pediocin PA-1 and nisin with Listeria monocytgenes cells and model lipid systems. While significant nisin-induced intracellular ATP depletion is caused by efflux, pediocin-induced depletion is caused exclusively by hydrolysis. Liposomes derived from L. monocytogenes phospholipids were used to study the physical chemistry of pediocin and nisin interactions with lipids. Their different pH optima are the results of different specific ionizable amino acids. We generated a predicted 3-D structural model for pediocin PA-1 and used a variety of mutant pediocins to demonstrate that the "positive patch" at residues 11 and 12 (and not the YGNGV consensus sequence) is responsible for the binding step of pediocin action. This structure/function understanding gained here provides necessary prerequisites to the more efficacious use of bacteriocins to control foodborne pathogens.
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Firon, Nurit, Prem Chourey, Etan Pressman, Allen Hartwell, and Kenneth J. Boote. Molecular Identification and Characterization of Heat-Stress-Responsive Microgametogenesis Genes in Tomato and Sorghum - A Feasibility Study. United States Department of Agriculture, October 2007. http://dx.doi.org/10.32747/2007.7591741.bard.

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Exposure to higher than optimal temperatures - heat-stress (HS) - is becoming increasingly common to all crop plants worldwide. Heat stress coinciding with microgametogenesis, especially during the post-meiotic phase that is marked by starch biosynthesis, is often associated with starch-deficient pollen and male sterility and ultimately, greatly reduced crop yields. The molecular basis for the high sensitivity of developing pollen grains, on one hand, and factors involved in pollen heat-tolerance, on the other, is poorly understood. The long-term goal of this project is to provide a better understanding of the genes that control pollen quality under heat-stress conditions. The specific objectives of this project were: (1) Determination of the threshold heat stress temperature(s) that affects tomato and sorghum pollen quality whether: a) Chronic mild heat stress conditions (CMHS), or b) Acute heat stress (AHS). (2) Isolation of heat-responsive, microgametogenesis-specific sequences. During our one-year feasibility project, we have accomplished the proposed objectives as follows: Objectrive 1: We have determined the threshold HS conditions in tomato and sorghum. This was essential for achieving the 2nd objective, since our accumulated experience (both Israeli and US labs) indicate that when temperature is raised too high above "threshold HS levels" it may cause massive death of the developing pollen grains. Above-threshold conditions have additional major disadvantages including the "noise" caused by induced expression of genes involved in cell death and masking of the differences between heatsensitive and heat-tolerant pollen grains. Two different types of HS conditions were determined: a) Season-long CMHS conditions: 32/26°C day/night temperatures confirmed in tomato and 36/26°C day maximum/night minimum temperatures in sorghum. b) Short-term AHS: In tomato, 2 hour exposure to 42-45°C (at 7 to 3 days before anthesis) followed by transfer to 28/22±2oC day/night temperatures until flower opening and pollen maturation, caused 50% reduced germinating pollen in the heat-sensitive 3017 cv.. In sorghum, 36/26°C day/night temperatures 10 to 5 days prior to panicle emergence, occurring at 35 days after sowing (DAS) in cv. DeKalb28E, produced starch-deficient and sterile pollen. Objective 2: We have established protocols for the high throughput transcriptomic approach, cDNA-AFLP, for identifying and isolating genes exhibiting differential expression in developing microspores exposed to either ambient or HS conditions and created a databank of HS-responsivemicrogametogenesis-expressed genes. A subset of differentially displayed Transcript-Derived Fragments (TDFs) that were cloned and sequenced (35 & 23 TDFs in tomato and sorghum, respectively) show close sequence similarities with metabolic genes, genes involved in regulation of carbohydrate metabolism, genes implicated in thermotolerance (heat shock proteins), genes involved in long chain fatty acids elongation, genes involved in proteolysis, in oxidation-reduction, vesicle-mediated transport, cell division and transcription factors. T-DNA-tagged Arabidopsis mutants for part of these genes were obtained to be used for their functional analysis. These studies are planned for a continuation project. Following functional analyses of these genes under HS – a valuable resource of genes, engaged in the HS-response of developing pollen grains, that could be modulated for the improvement of pollen quality under HS in both dicots and monocots and/or used to look for natural variability of such genes for selecting heat-tolerant germplasm - is expected.
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