Relevant bibliographies by topics / Biophysics

Academic literature on the topic 'Biophysics'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 September 2024

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Journal articles on the topic "Biophysics"

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Loew, Leslie M. "Biophysical Journal and the Biophysics Community." Biophysical Journal 106, no. 9 (May 2014): E01—E02. http://dx.doi.org/10.1016/j.bpj.2014.04.002.

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Sikosek, Tobias, and Hue Sun Chan. "Biophysics of protein evolution and evolutionary protein biophysics." Journal of The Royal Society Interface 11, no. 100 (November 6, 2014): 20140419. http://dx.doi.org/10.1098/rsif.2014.0419.

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The study of molecular evolution at the level of protein-coding genes often entails comparing large datasets of sequences to infer their evolutionary relationships. Despite the importance of a protein's structure and conformational dynamics to its function and thus its fitness, common phylogenetic methods embody minimal biophysical knowledge of proteins. To underscore the biophysical constraints on natural selection, we survey effects of protein mutations, highlighting the physical basis for marginal stability of natural globular proteins and how requirement for kinetic stability and avoidance of misfolding and misinteractions might have affected protein evolution. The biophysical underpinnings of these effects have been addressed by models with an explicit coarse-grained spatial representation of the polypeptide chain. Sequence–structure mappings based on such models are powerful conceptual tools that rationalize mutational robustness, evolvability, epistasis, promiscuous function performed by ‘hidden’ conformational states, resolution of adaptive conflicts and conformational switches in the evolution from one protein fold to another. Recently, protein biophysics has been applied to derive more accurate evolutionary accounts of sequence data. Methods have also been developed to exploit sequence-based evolutionary information to predict biophysical behaviours of proteins. The success of these approaches demonstrates a deep synergy between the fields of protein biophysics and protein evolution.
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Riznichenko, G. Yu, A. A. Anashkina, and A. B. Rubin. "VII congress of biophysicists of Russia." Биофизика 68, no. 4 (August 15, 2023): 831–32. http://dx.doi.org/10.31857/s0006302923040233.

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The problems and results of research in biophysics, which were devoted to the VII Congress of Biophysicists of Russia (Krasnodar, April 17-23, 2023, http://rusbiophysics.ru/db/conf.pl), are discussed. The results of fundamental and applied research in the field of molecular biophysics, cell biophysics, biophysics of complex multicomponent systems were presented at plenary, sectional and poster sessions. The structure and dynamics of biopolymers, the fundamental mechanisms underlying the impact of physicochemical factors on biological systems, membrane and transport processes were actively discussed. Much attention was paid to new experimental methods of biophysical research, methods of bioinformatics, computer and mathematical modeling as essential research tools at all levels of organization of living systems. Along with the fundamental problems of studying the biophysical mechanisms of regulation of processes at the molecular, subcellular and cellular levels, much attention was paid to applied research in the field of biotechnology and environmental monitoring. Works in the field of medical biophysics were especially widely represented. During the Congress, the National Council for Biophysics was formed.
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Goñi, Félix M. "Birth and Early Steps of the Organization of Biophysics in Spain." Biophysica 2, no. 4 (November 19, 2022): 498–505. http://dx.doi.org/10.3390/biophysica2040042.

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In the 1960s, Biophysics was an unheard of scientific field in Spain, and even outside Spain, the distinction between Biophysics and Molecular Biology was not clear at the time. This paper describes briefly the developments that led to the foundation of the Spanish National Committee for Biophysics (1981) and of the Spanish Biophysical Society (1987), the incorporation of Spain into IUPAB and EBSA, and the normalized presence of Biophysics as a compulsory subject in undergraduate curricula in Spain.
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Kalashnikov, Nikita, and Christopher Moraes. "Engineering physical microenvironments to study innate immune cell biophysics." APL Bioengineering 6, no. 3 (September 1, 2022): 031504. http://dx.doi.org/10.1063/5.0098578.

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Innate immunity forms the core of the human body's defense system against infection, injury, and foreign objects. It aims to maintain homeostasis by promoting inflammation and then initiating tissue repair, but it can also lead to disease when dysregulated. Although innate immune cells respond to their physical microenvironment and carry out intrinsically mechanical actions such as migration and phagocytosis, we still do not have a complete biophysical description of innate immunity. Here, we review how engineering tools can be used to study innate immune cell biophysics. We first provide an overview of innate immunity from a biophysical perspective, review the biophysical factors that affect the innate immune system, and then explore innate immune cell biophysics in the context of migration, phagocytosis, and phenotype polarization. Throughout the review, we highlight how physical microenvironments can be designed to probe the innate immune system, discuss how biophysical insight gained from these studies can be used to generate a more comprehensive description of innate immunity, and briefly comment on how this insight could be used to develop mechanical immune biomarkers and immunomodulatory therapies.
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McCulloch, Andrew D. "Systems Biophysics: Multiscale Biophysical Modeling of Organ Systems." Biophysical Journal 110, no. 5 (March 2016): 1023–27. http://dx.doi.org/10.1016/j.bpj.2016.02.007.

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JAGANNATHAN, N. R. "The Biophysics Research: The Role of Indian Biophysical Society (IBS) and the Asian Biophysics Association (ABA)." Seibutsu Butsuri 52, no. 2 (2012): 076–78. http://dx.doi.org/10.2142/biophys.52.076.

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Hall, Damien. "Biophysical Reviews—the IUPAB journal tasked with advancing biophysics." Biophysical Reviews 13, no. 1 (February 2021): 1–6. http://dx.doi.org/10.1007/s12551-021-00788-8.

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Ando, Toshio. "Biophysical reviews top five: atomic force microscopy in biophysics." Biophysical Reviews 13, no. 4 (July 10, 2021): 455–58. http://dx.doi.org/10.1007/s12551-021-00820-x.

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AbstractSince its invention in the late 1980s, atomic force microscopy (AFM), in which a nanometer-sized tip is used to physically interrogate the properties of a surface at high resolution, has brought about scientific revolutions in both surface science and biological physics. In response to a request from the journal, I have prepared a top-five list of scientific papers that I feel represent truly landmark developments in the use of AFM in the biophysics field. This selection is necessarily limited by number (just five) and subjective (my opinion) and I offer my apologies to those not appearing in this list.
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Gango, Sergei, Svetlana Pan'kova, Vladimir Solovyev, Alexander Vanin, and Mikhail Yanikov. "TEACHING METHODS IN THE UNIVERSITY COURSE “BIOPHYSICS”." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 1 (May 25, 2018): 103. http://dx.doi.org/10.17770/sie2018vol1.3206.

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The article presents some methods and results of experimental teaching biophysics at Pskov State University (Russian Federation). The goal of any university is to train highly qualified specialists. To achieve this aim, the authors suggest following interdisciplinary approach to the educational process. Some topics of the lecture presentations, video clips and demonstration educational experiments as well as examples of computer modelling of biophysical processes are considered. Subjects of the real and virtual biophysical, biological and medical experimental tasks for students working in an educational university physical laboratory are discussed.
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Dissertations / Theses on the topic "Biophysics"

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Forrest, Michael. "Biophysics of Purkinje computation." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/84008/.

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Although others have reported and characterised different patterns of Purkinje firing (Womack and Khodakhah, 2002, 2003, 2004; McKay and Turner, 2005) this thesis is the first study that moves beyond their description and investigates the actual basis of their generation. Purkinje cells can intrinsically fire action potentials in a repeating trimodal or bimodal pattern. The trimodal pattern consists of tonic spiking, bursting and quiescence. The bimodal pattern consists of tonic spiking and quiescence. How these firing patterns are generated, and what ascertains which firing pattern is selected, has not been determined to date. We have constructed a detailed biophysical Purkinje cell model that can replicate these patterns and which shows that Na+/K+ pump activity sets the model’s operating mode. We propose that Na+/K+ pump modulation switches the Purkinje cell between different firing modes in a physiological setting and so innovatively hypothesise the Na+/K+ pump to be a computational element in Purkinje information coding. We present supporting in vitro Purkinje cell recordings in the presence of ouabain, which irreversibly blocks the Na+/K+ pump. Climbing fiber (CF) input has been shown experimentally to toggle a Purkinje cell between an up (firing) and down (quiescent) state and set the gain of its response to parallel fiber (PF) input (Mckay et al., 2007). Our Purkinje cell model captures these toggle and gain computations with a novel intracellular calcium computation that we hypothesise to be applicable in real Purkinje cells. So notably, our Purkinje cell model can compute, and importantly, relates biophysics to biological information processing. Our Purkinje cell model is biophysically detailed and as a result is very computationally intensive. This means that, whilst it is appropriate for studying properties of the 8 individual Purkinje cell (e.g. relating channel densities to firing properties), it is unsuitable for incorporation into network simulations. We have overcome this by deploying mathematical transforms to produce a simpler, surrogate version of our model that has the same electrical properties, but a lower computational overhead. Our hope is that this model, of intermediate biological fidelity and medium computational complexity, will be used in the future to bridge cellular and network studies and identify how distinctive Purkinje behaviours are important to network and system function.
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Subramaniam, Vinod. "Biophysics of protein misfolding." Enschede : University of Twente [Host], 2007. http://doc.utwente.nl/58042.

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Garcia, Gonzalo. "Biophysics of protein interactions." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709387.

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Beaulieu-Laroche, Lou. "Dendritic biophysics and evolution." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130812.

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Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, February, 2021
Cataloged from the official PDF version of thesis. "February 2021."
Includes bibliographical references (pages 190-207).
The biophysical features of neurons are the building blocks of computation in the brain. Dendrites are the physical site of the vast majority of synaptic connections and can expand the information processing capabilities of neurons. Due to their complex morphological attributes and various ion channels, dendrites shape how thousands of inputs are integrated into behaviorally-relevant outputs at the level of individual neurons. However, several long-standing issues limit our understanding of dendritic biophysics. In addition to distorted electrophysiological measurements, prior studies have largely been limited to ex vivo preparations from rodent animal models, providing little insight for computation in the awake human brain. In this thesis, we overcome these limitations to provide new insights on biophysics at the intersection of dendritic morphology and evolution. In chapter 1, we demonstrate that voltage-clamp analysis, which was employed to derive much of our understanding of synaptic transmission, is incompatible with most synapses because they reside on electrically-compartmentalized spines. We also develop new approaches to provide accurate measurements of synaptic strength. Then, in chapter 2, we directly correlate somatic and distal dendritic activity in the awake mouse visual cortex to show an unexpectedly high degree of coupling in vivo. In chapter 3, we perform dendritic recordings in large human neurons to reveal distinct integrative properties from commonly studied rat neurons. Finally, in chapter 4, we characterize neurons in 10 mammalian species to extract evolutionary rules governing neuronal biophysics and uncover human specializations. Together, these four thesis projects expand our understanding of the influence of dendritic geometry and evolution on neuronal biophysics.
by Lou Beaulieu-Laroche.
Ph. D. in Neuroscience
Ph.D.inNeuroscience Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences
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Morrison, Gregory Charles. "Polymer concepts in biophysics." College Park, Md. : University of Maryland, 2008. http://hdl.handle.net/1903/8159.

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Thesis (Ph. D.)--University of Maryland, College Park, 2008.
Thesis research directed by: Dept. of Chemistry and Biochemistry. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Huang, Po-Ssu Rees Douglas C. "Biochemistry and molecular biophysics /." Diss., Pasadena, Calif. : California Institute of Technology, 2004. http://resolver.caltech.edu/CaltechETD:etd-06012004-214823.

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Kowalewski, Jacob. "Mathematical Models in Cellular Biophysics." Licentiate thesis, KTH, Applied Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4361.

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Cellular biophysics deals with, among other things, transport processes within cells. This thesis presents two studies where mathematical models have been used to explain how two of these processes occur.

Cellular membranes separate cells from their exterior environment and also divide a cell into several subcellular regions. Since the 1970s lateral diffusion in these membranes has been studied, one the most important experimental techniques in these studies is fluorescence recovery after photobleach (FRAP). A mathematical model developed in this thesis describes how dopamine 1 receptors (D1R) diffuse in a neuronal dendritic membrane. Analytical and numerical methods have been used to solve the partial differential equations that are expressed in the model. The choice of method depends mostly on the complexity of the geometry in the model.

Calcium ions (Ca2+) are known to be involved in several intracellular signaling mechanisms. One interesting concept within this field is a signaling microdomain where the inositol 1,4,5-triphosphate receptor (IP3R) in the endoplasmic reticulum (ER) membrane physically interacts with plasma membrane proteins. This microdomain has been shown to cause the intracellular Ca2+ level to oscillate. The second model in this thesis describes a signaling network involving both ER membrane bound and plasma membrane Ca2+ channels and pumps, among them store-operated Ca2+ (SOC) channels. A MATLAB® toolbox was developed to implement the signaling networks and simulate its properties. This model was also implemented using Virtual cell.

The results show a high resemblance between the mathematical model and FRAP data in the D1R study. The model shows a distinct difference in recovery characteristics of simulated FRAP experiments on whole dendrites and dendritic spines, due to differences in geometry. The model can also explain trapping of D1R in dendritic spines.

The results of the Ca2+ signaling model show that stimulation of IP3R can cause Ca2+ oscillations in the same frequency range as has been seen in experiments. The removing of SOC channels from the model can alter the characteristics as well as qualitative appearance of Ca2+ oscillations.


Cellulär biofysik behandlar bland annat transportprocesser i celler. I denna avhandling presenteras två studier där matematiska modeller har använts för att förklara hur två av dess processer uppkommer.

Cellmembran separerar celler från deras yttre miljö och delar även upp en cell i flera subcellulära regioner. Sedan 1970-talet har lateral diffusion i dessa membran studerats, en av de viktigaste experimentella metoderna i dessa studier är fluorescence recovery after photobleach (FRAP). En matematisk modell utvecklad i denna avhandling beskriver hur dopamin 1-receptorer (D1R) diffunderar i en neural dendrits membran. Analytiska och numeriska metoder har använts för att lösa de partiella differentialekvationer som uttrycks i modellen. Valet av metod beror främst på komplexiteten hos geometrin i modellen.

Kalciumjoner (Ca2+) är kända för att ingå i flera intracellulära signalmekanismer. Ett intressant koncept inom detta fält är en signalerande mikrodomän där inositol 1,4,5-trifosfatreceptorn (IP3R) i endoplasmatiska nätverksmembranet (ER-membranet) fysiskt interagerar med proteiner i plasmamembranet. Denna mikrodomän har visats vara orsak till oscillationer i den intracellulära Ca2+-nivån. Den andra modellen i denna avhandling beskriver ett signalerande nätverk där både Ca2+-kanaler och pumpar bundna i ER-membranet och i plasmamembranet, däribland store-operated Ca2+(SOC)-kanaler, ingår. Ett MATLAB®-verktyg utvecklades för att implementera signalnätverket och simulera dess egenskaper. Denna modell implementerades även i Virtual cell.

Resultaten visar en stark likhet mellan den matematiska modellen och FRAP-datat i D1R-studien. Modellen visar en distinkt skillnad i återhämtningsegenskaper hos simulerade FRAP-experiment på hela dendriter och dendritiska spines, beroende på skillnader i geometri. Modellen kan även förklara infångning av D1R i dendritiska spines.

Resultaten från Ca2+-signaleringmodellen visar att stimulering av IP3R kan orsaka Ca2+-oscillationer inom samma frekvensområde som tidigare setts i experiment. Att ta bort SOC-kanaler från modellen kan ändra karaktär hos, såväl som den kvalitativa uppkomsten av Ca2+-oscillationer.

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Gold, Carl Andersen Richard A. Koch Christof. "Biophysics of extracellular action potentials /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-05312007-210112.

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Testorf, Martin. "Melanophores : cell biophysics and sensor applications /." Linköping : Univ, 2001. http://www.bibl.liu.se/liupubl/disp/disp2001/tek687s.pdf.

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Mellor, Ian R. "The biophysics of peptide ion channels." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335759.

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Books on the topic "Biophysics"

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Glaser, Roland. Biophysics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45845-7.

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Glaser, Roland. Biophysics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25212-9.

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Parke, William C. Biophysics. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44146-3.

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Leake, Mark C. Biophysics. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2016] |: CRC Press, 2016. http://dx.doi.org/10.1201/9781315381589.

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Glaser, Roland. Biophysics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-662-04494-0.

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Sybesma, Christiaan. Biophysics. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2239-6.

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Pattabhi, Vasantha. Biophysics. Boston: Kluwer Academic Publishers, 2002.

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N, Gautham, ed. Biophysics. Boston: Kluwer Academic, 2002.

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Roland, Glaser, ed. Biophysics. 5th ed. Berlin: Springer, 2001.

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M, Engelman Donald, ed. Annual review of biophysics and biophysical chemistry. Palo Alto: Annual Reviews Inc, 1988.

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Book chapters on the topic "Biophysics"

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Matrai, A., R. B. Whittington, and R. Skalak. "Biophysics." In Developments in Cardiovascular Medicine, 9–71. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4285-1_2.

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Leake, Mark C. "Theoretical Biophysics." In Biophysics, 315–93. 2nd ed. New York: CRC Press, 2023. http://dx.doi.org/10.1201/9781003336433-8.

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Juusola, Mikko, Zhuoyi Song, and Roger Hardie. "Phototransduction Biophysics." In Encyclopedia of Computational Neuroscience, 2359–76. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_333.

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Szasz, Andras, Nora Szasz, and Oliver Szasz. "Thermo-Biophysics." In Oncothermia: Principles and Practices, 89–172. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9498-8_3.

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Corfield, Anthony, and Monica Berry. "Mucin Biophysics." In Encyclopedia of Biophysics, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35943-9_474-1.

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ter Haar, Gail R. "Ultrasonic Biophysics." In Physical Principles of Medical Ultrasonics, 349–406. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470093978.ch12.

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Corfield, Anthony, and Monica Berry. "Mucin Biophysics." In Encyclopedia of Biophysics, 1615–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_474.

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Morris, Victor J. "Pectin Biophysics." In Encyclopedia of Biophysics, 1832–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_83.

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Plonsey, Robert, and Roger C. Barr. "Membrane Biophysics." In Bioelectricity, 165–203. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4757-9456-4_8.

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Juusola, Mikko, Zhuoyi Song, and Roger Hardie. "Phototransduction Biophysics." In Encyclopedia of Computational Neuroscience, 1–20. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7320-6_333-1.

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Conference papers on the topic "Biophysics"

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Salzberg, Brian M. "Biophysics." In Biomedical Topical Meeting. Washington, D.C.: OSA, 2004. http://dx.doi.org/10.1364/bio.2004.we1.

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Panijpan, Bhinyo, Boonchoat Paosawatyanyong, and Pornrat Wattanakasiwich. "Biophysics Education." In INTERNATIONAL CONFERENCE ON PHYSICS EDUCATION: ICPE-2009. AIP, 2010. http://dx.doi.org/10.1063/1.3479904.

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Bialek, W. "PRINCETON LECTURES ON BIOPHYSICS." In First Princeton Lectures. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814535977.

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Stanley, H. Eugene. "Scale invariance in biophysics." In Third tohwa university international conference on statistical physics. AIP, 2000. http://dx.doi.org/10.1063/1.1291594.

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Líšková, Miroslava, Ľubomíra Valovičová, and Ján Ondruška. "Biophysics in nursing education." In DIDFYZ 2019: Formation of the Natural Science Image of the World in the 21st Century. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5124763.

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ROTHBERG, LEWIS. "TRANSIENT INFRARED SPECTROSCOPY IN BIOPHYSICS." In A Volume in Honor of the 70th Birthday of Nicolaas Bloembergen. WORLD SCIENTIFIC, 1990. http://dx.doi.org/10.1142/9789814540223_0030.

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Khlebtsov, Boris N. "Detectability of SERS phantom in a turbid medium." In Computational Biophysics and Nanobiophotonics, edited by Boris N. Khlebtsov and Dmitry E. Postnov. SPIE, 2022. http://dx.doi.org/10.1117/12.2624377.

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Goryacheva, Olga A. "Bioconjugation techniques for quantum dots and gold nanoparticles for immunochemical assay." In Computational Biophysics and Nanobiophotonics, edited by Boris N. Khlebtsov and Dmitry E. Postnov. SPIE, 2022. http://dx.doi.org/10.1117/12.2626244.

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Borovkova, Ekaterina I., Elizaveta S. Dubinkina, Alexey N. Hramkov, Yurii M. Ishbulatov, Victoria V. Skazkina, and Anatoly S. Karavaev. "Study of statistical properties of the method of analysis of directional couplings based on modeling of phase dynamics." In Computational Biophysics and Nanobiophotonics, edited by Boris N. Khlebtsov and Dmitry E. Postnov. SPIE, 2022. http://dx.doi.org/10.1117/12.2626038.

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Khanadeev, Vitaly A., Andrey V. Simonenko, Boris N. Khlebtsov, Alexander S. Fomin, and Nikolai G. Khlebtsov. "Effect of hydrochloric acid on the synthesis of gold nanoantennas and their morphological and optical properties." In Computational Biophysics and Nanobiophotonics, edited by Boris N. Khlebtsov and Dmitry E. Postnov. SPIE, 2022. http://dx.doi.org/10.1117/12.2624380.

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Reports on the topic "Biophysics"

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Dietrich, Dianne. Biophysics - Cornell University. Purdue University Libraries, March 2012. http://dx.doi.org/10.5703/1288284314999.

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Hall, E., M. Zaider, and M. Delegianis. Radiation physics, biophysics, and radiation biology. Office of Scientific and Technical Information (OSTI), July 1989. http://dx.doi.org/10.2172/5560448.

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Hall, E. J., and M. Zaider. Radiation physics, biophysics, and radiation biology. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/6522957.

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Hall, E. J. Radiation physics, biophysics, and radiation biology. Office of Scientific and Technical Information (OSTI), May 1992. http://dx.doi.org/10.2172/5375237.

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Hall, E., and M. Zaider. Radiation physics, biophysics, and radiation biology. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/7191167.

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6

Sowers, Arthur E. Workshop on Biophysics of Transmembrane Electric Fields. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada232057.

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7

Moffat, Keith. 6th International Conference on Biophysics & Synchrotron Radiation. Final report. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/755236.

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8

Kumar, Devendra, and S. P. McGlynn. A Physico-Chemical Study of Some Areas of Fundamental Significance to Biophysics. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/7144.

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McGlynn, S. P., and D. Kumar. A physico-chemical study of some areas of fundamental significance to biophysics. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/7028757.

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McGlynn, S., and D. Kumar. A physico-chemical study of some areas of fundamental significance to biophysics. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/7036741.

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