Relevant bibliographies by topics / Imaging systems in biology

Academic literature on the topic 'Imaging systems in biology'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Imaging systems in biology"

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Megason, Sean G., and Scott E. Fraser. "Imaging in Systems Biology." Cell 130, no. 5 (September 2007): 784–95. http://dx.doi.org/10.1016/j.cell.2007.08.031.

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Smith, Sarah E., Brian D. Slaughter, and Jay R. Unruh. "Imaging methodologies for systems biology." Cell Adhesion & Migration 8, no. 5 (September 3, 2014): 468–77. http://dx.doi.org/10.4161/cam.29152.

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Sung, Myong-Hee, and James G. McNally. "Live cell imaging and systems biology." Wiley Interdisciplinary Reviews: Systems Biology and Medicine 3, no. 2 (August 20, 2010): 167–82. http://dx.doi.org/10.1002/wsbm.108.

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Huang, Kerwyn Casey. "Applications of imaging for bacterial systems biology." Current Opinion in Microbiology 27 (October 2015): 114–20. http://dx.doi.org/10.1016/j.mib.2015.08.003.

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Kherlopian, Armen R., Ting Song, Qi Duan, Mathew A. Neimark, Ming J. Po, John K. Gohagan, and Andrew F. Laine. "A review of imaging techniques for systems biology." BMC Systems Biology 2, no. 1 (2008): 74. http://dx.doi.org/10.1186/1752-0509-2-74.

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Müller, Ralph. "High-throughput cell imaging in bone systems biology." Journal of Orthopaedic Translation 2, no. 4 (October 2014): 196–97. http://dx.doi.org/10.1016/j.jot.2014.07.115.

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Mullassery, Dhanya, Caroline A. Horton, Christopher D. Wood, and Michael R. H. White. "Single live-cell imaging for systems biology 9." Essays in Biochemistry 45 (September 30, 2008): 121–34. http://dx.doi.org/10.1042/bse0450121.

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Understanding how mammalian cells function requires a dynamic perspective. However, owing to the complexity of signalling networks, these non-linear systems can easily elude human intuition. The central aim of systems biology is to improve our understanding of the temporal complexity of cell signalling pathways, using a combination of experimental and computational approaches. Live-cell imaging and computational modelling are compatible techniques which allow quantitative analysis of cell signalling pathway dynamics. Non-invasive imaging techniques, based on the use of various luciferases and fluorescent proteins, trace cellular events such as gene expression, protein–protein interactions and protein localization in cells. By employing a number of markers in a single assay, multiple parameters can be measured simultaneously in the same cell. Following acquisition using specialized microscopy, analysis of multi-parameter time-lapse images facilitates the identification of important qualitative and quantitative relationships–linking intracellular signalling, gene expression and cell fate.
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Ritchie, Ken. "S01H3 Single molecule imaging of diffusion in E. Coll membranes(Systems Biology of Intracellular Signaling as Studied by Single-Molecule Imaging)." Seibutsu Butsuri 47, supplement (2007): S1. http://dx.doi.org/10.2142/biophys.47.s1_3.

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Sako, Yasushi. "Imaging single molecules in living cells for systems biology." Molecular Systems Biology 2, no. 1 (January 2006): 56. http://dx.doi.org/10.1038/msb4100100.

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Liu, Zhe, and Philipp J. Keller. "Emerging Imaging and Genomic Tools for Developmental Systems Biology." Developmental Cell 36, no. 6 (March 2016): 597–610. http://dx.doi.org/10.1016/j.devcel.2016.02.016.

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Dissertations / Theses on the topic "Imaging systems in biology"

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Lux, Matthew William. "Estimation of gene network parameters from imaging cytometry data." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/23082.

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Synthetic biology endeavors to forward engineer genetic circuits with novel function. A major inspiration for the field has been the enormous success in the engineering of digital electronic circuits over the past half century. This dissertation approaches synthetic biology from the perspective of the engineering design cycle, a concept ubiquitous across many engineering disciplines. First, an analysis of the state of the engineering design cycle in synthetic biology is presented, pointing out the most limiting challenges currently facing the field. Second, a principle commonly used in electronics to weigh the tradeoffs between hardware and software implementations of a function, called co-design, is applied to synthetic biology. Designs to implement a specific logical function in three distinct domains are proposed and their pros and cons weighed. Third, automatic transitioning between an abstract design, its physical implementation, and accurate models of the corresponding system are critical for success in synthetic biology. We present a framework for accomplishing this task and demonstrate how it can be used to explore a design space. A major limitation of the aforementioned approach is that adequate parameter values for the performance of genetic components do not yet exist. Thus far, it has not been possible to uniquely attribute the function of a device to the function of the individual components in a way that enables accurate prediction of the function of new devices assembled from the same components. This lack presents a major challenge to rapid progression through the design cycle. We address this challenge by first collecting high time-resolution fluorescence trajectories of individual cells expressing a fluorescent protein, as well as snapshots of the number of corresponding mRNA molecules per cell. We then leverage the information embedded in the cell-cell variability of the population to extract parameter values for a stochastic model of gene expression more complex than typically used. Such analysis opens the door for models of genetic components that can more reliably predict the function of new combinations of these basic components.
Ph. D.
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Xu, Jingjiang, and 许景江. "Development of advanced label-free optical bioimaging technologies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206437.

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Today label-free bioimaging has been leading to widespread and fast-growing applications, which demands for a more efficient way to keep up such momentum. To this end, the research in this thesis will study the techniques of efficiency improvement for advanced label-free bioimaging, including the time efficiency, cost efficiency and information efficiency. Optical coherence tomography (OCT) is one of the most valuable label-free bioimaging modalities to provide noninvasive cross-sectional assessment of biological tissue. In many occasions, these applications demand for three dimensional (3D) imaging at video-rate in order to perform real-time diagnoses, which can be overcome by MHz-OCT. Here we demonstrate inertia-free all-optical ultrahigh-speed swept-source optical coherence tomography (OCT) based on amplified optical time-stretch (AOT). More importantly, the key significance of AOT-OCT is its broadband amplification stage, which greatly enhances the detection sensitivity compared with the prior attempts to employ optical time-stretch to OCT. We report an AOT-OCT system which is operated at an A-scan rate of multi-megahertz with high sensitivity (>80 dB) and perform time-stretch-based OCT of biological tissue in vivo. Moreover, using a more stable and coherent mode-locked fiber laser, we can achieve better performance without the compromise of averaging for supercontinuum-generation-based AOT-OCT system. It represents a major step forward in utilizing AOT as an alternative for achieving practical time-efficient OCT imaging at multi-MHz speed. For the further development of this ultrahigh-speed OCT, we present a theoretical analysis of the AOT-OCT system. The spectral resolution, coherence length and sensitivity of AOT-OCT system have been discussed in detail. By theoretical model of the noise sources based on Raman amplifier, we also quantify how the input signal, amplifier gain, A-scan rate affect the sensitivity of AOT-OCT imaging. These simulation results are expected to be valuable for optimizing the design of AOT-OCT. We also investigate in cost-effective implementation to realize efficient optical time-stretch process based on dispersive fiber. We explore and demonstrate the feasibility of using the standard telecommunication single-mode fibers as few-mode fibers (FMFs) for optical time-stretch confocal microscopy in the 1m range. It can provide sufficiently high dispersion-to-loss ratios for practical time-stretch imaging at 1 m, without the needs for high-cost specialty 1 m single mode fiber. In addition, Coherent anti-Stokes Raman scattering (CARS) microscopy is another attractive efficient tool for label-free biochemical-specific imaging, which can bypass laborious steps of preparing and staining in routine standard histopathology. Here we further explore ultrabroadband hyperspectral multiplex (HM-CARS) to perform chemoselective histological imaging with efficient information in fingerprint region. In order to unravel the congested CARS spectra, we employ phase-retrieval algorithm based on Kramers–Kronig (KK) transform and principal component analysis (PCA) to display the key cellular structures with components distribution. All these research efforts are aiming at improving the efficiency, from theory to implementation, for label-free bioimaging technology such as OCT and CARS. These schemes demonstrate great potential to realize powerful label-free bioimaging with high efficiency, including ultrafast 3D OCT imaging at video-rate, cost-effective optical time-stretch imaging and HM-CARS imaging with richness of biological fingerprint information.
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Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
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Fung, David Cho Yau. "Visualization and analysis of gene expression in bio-molecular networks." Phd thesis, Faculty of Engineering and Information Technologies, 2010. http://hdl.handle.net/2123/9325.

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Patrick, Peter Stephen. "The development of reporter genes for in vivo imaging." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708002.

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Dubaj, Vladimir, and n/a. "Novel optical fluorescence imaging probe for the investigation of biological function at the microscopic level." Swinburne University of Technology, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20060905.084615.

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Existing optic fibre-bundle based imaging probes have been successfully used to image biological signals from tissue in direct contact with the probe tip (Hirano et al. 1996). These fibre-bundle probe systems employed conventional fluorescence microscopy and thus lacked spatial filtering or a scanned light source, two features used by laser scanning confocal microscopes (LSCMs) to improve signal quality. Improving the methods of imaging tissue in its natural state, deep in-vivo and at cellular resolution is an ever-present goal in biological research. Within this study, a novel (580 μm diameter) optic fibre-bundle direct-contact imaging probe, employing a LSCM, was developed to allow for improved imaging of deep biological tissue in-vivo. The new LSCM/probe system possessed a spatial resolution of 10 μm, and a temporal resolution of 1 msec. The LSCM/probe system was compared to a previously used direct-contact probe system that employed a conventional fluorescence microscope. Quantitative and qualitative data indicated that the LSCM/probe system possessed superior image contrast and quality. Furthermore, the LSCM/probe system was approximately 16 times more effective at filtering unwanted contaminating light from regions below the imaging plane (z-axis). The unique LSCM/probe system was applied to an exploratory investigation of calcium activity of both glial and neuronal cells within the whisker portion of the rat primary somatosensory cortex in-vivo. Fluorescence signals of 106 cells were recorded from 12 female Sprague Dawley rats aged between 7-8 weeks. Fluo-3(AM) fluorophore based calcium fluctuations that coincided with 10 - 14 Hz sinusoidal stimulation of rat whiskers for 0.5-1 second were observed in 8.5% of cells (9 of 106). Both increases and decreases in calcium levels that coincided with whisker stimulation were observed. Of the 8.5 % of cells, 2.8% (3 cells) were categorized as glial and 5.7% (6 cells) as neuronal, based on temporal characteristics of the observed activity. The remaining cells (97 of 106) displayed sufficient calcium-based intensity but no fluctuations that coincided with an applied stimulus. This was partially attributed to electronic noise inherent in the prototype system obscuring potential very weak cell signals. The results indicate that the novel LSCM/probe system is an advancement over previously used systems that employed direct-contact imaging probes. The miniature nature of the probe allows for insertion into soft tissue, like a hypodermic needle, and provides access to a range of depths with minimal invasiveness. Furthermore, when combined with selected dyes, the system allows for imaging of numerous forms of activity at cellular resolution.
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Seniya, Chandrabhan. "A flexible low-cost quantitative phase imaging microscopy system for label-free imaging of multi-cellular biological samples." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/106451/.

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In this thesis, a flexible low-cost quantitative phase imaging microscopy (LQPIM) system for imaging both thin and thick biological phase objects in a non-contact, non-invasive, and label-free manner is reported. LQPIM optics was developed based on classical Zernike’s phase contrast approach and an additional phase shifting module to introduce user-defined phase modulations by utilising standard optical components. The phase shifting was performed using twin concentric mirrors or laser cut apertures in the arms of a Michelson interferometer where the reference mirror can be moved in / n steps (n - number of steps) with a piezoelectric transducer. Hence, the optical phase shifting modules are 10 - 15% (approximately) of the cost compared to the more widely reported modules based on spatial light modulator. In the microscope implementation reported in this thesis, a total magnification of 25x was achieved utilising relay lenses in LQPIM optics together with a standard 10x objective lens. The imaging system was simulated in MATLAB, where two-beam interference equation with varying bandwidth (1 – 250 nm), centre wavelength (450 – 650 nm) of the illumination sources and a range of previously reported phase shift algorithms (PSA) were used. The simulation results confirm that the optimum phase resolution is achievable if a broadband source of bandwidth 30 - 50 nm is used for illuminating thin (i.e. ≤ 250 nm) and thick (i.e. ≥ 1250 nm) biological samples. The four frames at 90 PSA and six plus one frames at 60 PSA offer different compromises between image acquisition time, phase resolution and out-perform other PSAs. A phase resolution of 0.382 nm and 0.317 nm was achieved using four frames at 90 and six plus one frames at 60 PSAs, respectively for the broadband illumination from a green LED. A coherent, single longitudinal mode laser source with a rotating diffuser for speckle averaging, gave 0.667 nm and 0.512 nm phase resolution using the same algorithms mentioned above. The parasitic fringes resulted in reduced resolution; hence, incoherent LED illumination was preferred. Measurements are presented over a longer optical path difference (≥ 1250 nm) than hitherto reported for a similar microscope. The given exemplar data demonstrates an ability of LQPIM system to quantify cellular and sub-cellular structures at the nanoscale in epidermis cells of Allium cepa. Key words: Quantitative phase imaging, low-cost, optical microscopy, phase imaging and phase shift imaging.
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Ho, Ka-kin, and 何家健. "Diethylenetriaminepentaacetic acid (DTPA) based lanthanide (III) complexes for bioimaging application." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49799344.

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In this work, a series of DTPA based Ln complexes containing one or two chromophores with different degrees of conjugation were synthesized. The proton relaxivities of Gd(III) analogues were investigated as potential MRI contrast agents while the photoluminescence of Eu(III) and Tb(III) analogues were studied for their applications in optical probes for cellular imaging. Later investigation indicates that only emissions from the chromophores could be measured upon long wavelength photon excitations in the microscope. With suitable ligand design, novel dual functional imaging probes were finally synthesized and these showed good luminescence intensity and image contrast in both in-vivo and in-vitro studies. Eight DTPA based Ln (III) complexes LnL1-L8 containing one or two chromophores which include benzene, 2-aminopyridine, 3-amino-pyridine and 4-aminopyridinewere synthesized. The syntheses, relaxometric properties, hydration numbers, quantum yields, sensitization efficiencies, brightnesses, cytotoxicities and cellular uptake properties were discussed. Those mono-substituted complexes show higher relaxivity, while the di-substituted complexes show lower relaxivity than Gd-DTPA (4.17 mM-1 s-1),a clinically used MRI contrast agent(CA).The di-substituted Tb(III)/Eu(III) analogues show lower sensitization efficiency than the mono-substituted ones in the energy transfer process. Therefore, the experimental results clearly illustrate that the complex with one chromophorein the DTPA system is a better option for being used as a MRI contrast agent and an optical probe. Another eight new mono-substituted DTPA based Ln(III) complexes LnL9-L16 containing extended conjugated chromophores were synthesized and investigated. The phenyl derivatives and naphthyl derivatives were added onto the para-position of 2-aminopyridine that was employed as the chromophore. All GdL9-L16possess one bound water molecule and show higher relaxivity than Gd-DTPA. The relaxivities at 300 MHz at 25oC are in the descending order of GdL15(5.37 mM-1s-1) > GdL16(5.23 mM-1s-1) > GdL13(5.12 mM-1s-1) > GdL14(5.06 mM-1s-1) > GdL11(4.96 mM-1s-1) > GdL12(4.83 mM-1s-1) > GdL10(4.80 mM-1s-1) > GdL9(4.50 mM-1s-1). Their quantum yields, sensitization efficiencies and brightnesses are greatly improved because of the highly conjugated chromophores. Moreover, they all showed low cytotoxicity to cells in a MTT assay and a high accumulation in cells in cellular uptake studies. However, no emission from the Eu(III) ion was detected from the Eu(III) analogues upon long wavelength photon excitation in the cell imaging studies, only the emissions from the chromophores were observed. Two mono-substituted DTPA based Ln(III) complexes containing anthracenyl derivatives as the chromophore LnL17-L18 and two DTPA-based binuclear Ln(III) complexes LnL19-L20were synthesized and investigated. Among the four complexes, GdL18 shows the highest relaxivity (4.65 mM-1s-1) and the highest fluorescent quantum yield (2.45%).It also has low cytotoxicity to cells in MTT assay and high accumulation in cells in cellular uptake study. In addition, GdL18shows very strong binding interaction towards serum albumin, i.e. 318,400mol-1dm3for HSA and 90,200 mol-1dm3for BSA. In preliminary studies, GdL18can both give good luminescence intensity and image contrast in both in vitro cell imaging and in vivo MRI studies. Therefore, GdL18 is considered as a potential candidate for use as a dual functional MRI/optical imaging probe.
published_or_final_version
Chemistry
Doctoral
Doctor of Philosophy
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Hall, David Jonathan. "The development of a near infrared time resolved imaging system and the assessment of the methodology for breast imaging." Thesis, University College London (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243779.

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Kujala, Naresh Gandhi Yu Ping. "Frequency domain fluorescent molecular tomography and molecular probes for small animal imaging." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/7021.

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Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 26, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Ping Yu. Vita. Includes bibliographical references.
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Roy, Debashish. "3D Cryo-Imaging System For Whole Mouse." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1259006676.

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Books on the topic "Imaging systems in biology"

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1944-, Weiss David S., ed. Organic photoreceptors for imaging systems. New York: M. Dekker, 1993.

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V, Dimmer, Herrmann W. R, and Kunze Klaus Dietmar, eds. Automated image analysis in medicine and biology: Proceedings. Leipzig: Barth, 1988.

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Tor, Savidge, and Pothoulakis Charalabos, eds. Microbial imaging. Amsterdam: Elsevier Academic Press, 2005.

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J, Taatjes Douglas, and Mossman Brooke T. 1947-, eds. Cell imaging techniques: Methods and protocols. Totowa, N.J: Humana Press, 2006.

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N.C.) Imaging Workshop for the Genomes to Life Program (2002 Charlotte. Report on the Imaging Workshop for the Genomes to Life Program: Charlotte, North Carolina, April 16-18, 2002. Washington, D.C: Office of Advanced Scientific Computing Research, Office of Biological and Environmental Research of the U.S. Department of Energy, Office of Science, 2002.

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Kuźnicki, Leszek, and Seweryn Bajer. Mikroskopia i obrazowanie. Warszawa: Instytut Biologii Doświadczalnej im. Marcelego Nenckiego PAN, 2013.

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Inter-Institute Workshop on In Vivo Optical Imaging at the NIH. Proceedings of Inter-Institute Workshop on In Vivo Optical Imaging at the NIH, September 16-17, 1999, National Institutes of Health, Bethesda, MD. Washington, DC: Optical Society of America, 2000.

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L, Farkas Daniel, Tromberg Bruce J, International Biomedical Optics Society, Society of Photo-optical Instrumentation Engineers., and American Society for Laser Medicine and Surgery., eds. Proceedings of functional imaging and optical manipulation of living cells: 10-11 February 1997, San Jose, California. Bellingham, Wash., USA: SPIE, 1997.

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Höhne, Karl Heinz. 3D Imaging in Medicine: Algorithms, Systems, Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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Brovko, Lubov. Bioluminescence and fluorescence for in vivo imaging. Bellingham, Wash: SPIE Press, 2010.

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Book chapters on the topic "Imaging systems in biology"

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Myers, Gene. "Imaging-Based Systems Biology." In High Performance Computing - HiPC 2006, 5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11945918_4.

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Nalepa, Grzegorz. "Live Cell Imaging." In Encyclopedia of Systems Biology, 1137–40. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_190.

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Doncic, Andreas, and Jan M. Skotheim. "Cell Cycle Analysis, Live-Cell Imaging." In Encyclopedia of Systems Biology, 242–47. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_34.

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Wu, Ling-Yun, Xiaobo Zhou, and Stephen T. C. Wong. "Computational Imaging and Modeling for Systems Biology." In Elements of Computational Systems Biology, 381–401. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470556757.ch17.

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Iyer-Pascuzzi, Anjali S., Paul R. Zurek, and Philip N. Benfey. "High-Throughput, Noninvasive Imaging of Root Systems." In Methods in Molecular Biology, 177–87. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-221-6_11.

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Khan, Michael, and Christine Waddington. "Clinical Aspects of the Toponome Imaging System (TIS)." In Encyclopedia of Systems Biology, 412–14. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_638.

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Vernaleken, Ingo, Gerhard Gruender, and Paul Cumming. "Progress in Psychopharmacotherapy though Molecular Imaging." In Systems Biology in Psychiatric Research, 189–206. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527630271.ch9.

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Ozaki, Yu-ichi, and Shinya Kuroda. "Imaging and Single-Cell Measurement Technologies." In Handbook of Statistical Systems Biology, 181–99. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119970606.ch9.

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Reddy, G. Venugopala, and A. Roy-Chowdhury. "Live-Imaging and Image Processing of Shoot Apical Meristems of Arabidopsis thaliana." In Plant Systems Biology, 305–16. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-563-7_15.

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Niittylae, Totte, Bhavna Chaudhuri, Uwe Sauer, and Wolf B. Frommer. "Comparison of Quantitative Metabolite Imaging Tools and Carbon-13 Techniques for Fluxomics." In Plant Systems Biology, 355–72. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-563-7_19.

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Conference papers on the topic "Imaging systems in biology"

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Randolph-GIps, Mary. "Autism: A Systems Biology Disease." In 2011 IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB). IEEE, 2011. http://dx.doi.org/10.1109/hisb.2011.13.

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Lank, E., Dragutin Petkovic, F. A. Ramirez-Weber, J. Hafernik, J. Hsieh, J. Maag, S. Pathuri, C. Pekiner, and S. Raghavendra. "BioMedia: multimedia information systems for biology research, education, and collaboration." In Electronic Imaging 2004, edited by Minerva M. Yeung, Rainer W. Lienhart, and Chung-Sheng Li. SPIE, 2003. http://dx.doi.org/10.1117/12.527048.

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Yong-Jun Shin and Jeong-Bong Lee. "Digital microfluidics-based high-throughput imaging for systems biology." In 2008 IEEE Sensors. IEEE, 2008. http://dx.doi.org/10.1109/icsens.2008.4716658.

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Pridmore, Tony. "Perceptual issues in the recovery and visualisation of integrated systems biology data." In IS&T/SPIE Electronic Imaging, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2011. http://dx.doi.org/10.1117/12.882104.

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Malik, Zvi, Dario Cabib, Robert A. Buckwald, Yuval Garini, and Dirk G. Soenksen. "Novel spectral imaging system combining spectroscopy with imaging applications for biology." In International Symposium on Biomedical Optics Europe '94, edited by Hans-Jochen Foth, Aaron Lewis, Halina Podbielska, Michel Robert-Nicoud, Herbert Schneckenburger, and Anthony J. Wilson. SPIE, 1995. http://dx.doi.org/10.1117/12.200882.

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Loudos, George K., Carlos Granja, Claude Leroy, and Ivan Stekl. "Advances in Small Animal Imaging Systems." In Nuclear Physics Medthods and Accelerators in Biology and Medicine. AIP, 2007. http://dx.doi.org/10.1063/1.2825762.

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Wang, Sean S., Olga C. Rodriguez, Ye Tian, Shaozhen Ye, Emanual Petricoin, and Chris Albanese. "Integration of imaging and systems biology to study treatment of medulloblastoma." In 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2012. http://dx.doi.org/10.1109/gensips.2012.6507717.

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Alaoui, Adil, Dongkyu Kim, Betty Levine, Kevin Cleary, Howard J. Federoff, and Timothy Mhyre. "Framework design and development of an informatics architecture for a systems biology approach to traumatic brain injury." In SPIE Medical Imaging, edited by Brent J. Liu and William W. Boonn. SPIE, 2010. http://dx.doi.org/10.1117/12.846090.

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Jing, Zhao, Pang Qichang, Ma Ji, Zheng Xiwen, and Meng Qingxia. "Multispectral Imaging System Applied to Element Testing of Biology." In 2008 International Conference on Biomedical Engineering And Informatics (BMEI). IEEE, 2008. http://dx.doi.org/10.1109/bmei.2008.45.

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Singh, Vijay Raj, and Peter T. C. So. "Confocal reflectance quantitative phase microscopy system for cell biology studies (Conference Presentation)." In Quantitative Phase Imaging II, edited by Gabriel Popescu and YongKeun Park. SPIE, 2016. http://dx.doi.org/10.1117/12.2217962.

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Reports on the topic "Imaging systems in biology"

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Ehrlich, Daniel. Deep Ultraviolet Laser Imaging for Biology. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada494753.

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Kastenhofer, Karen, ed. Systems Biology: Science or Technoscience? Vienna: self, 2020. http://dx.doi.org/10.1553/ita-pa-kk_20_01.

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Antonacos, John. Thermal Imaging Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada279146.

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Grego, Sonia, Edward R. Dougherty, Francis J. Alexander, Scott S. Auerbach, Brian R. Berridge, Michael L. Bittner, Warren Casey, et al. Systems Biology for Organotypic Cell Cultures. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1313549.

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Chakraborty, Srijani. Promises and Challenges of Systems Biology. Nature Library, October 2020. http://dx.doi.org/10.47496/nl.blog.09.

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Abstract:
Modern systems biology is essentially interdisciplinary, tying molecular biology, the omics, bioinformatics and non-biological disciplines like computer science, engineering, physics, and mathematics together.
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Marleau, Peter. Advanced Imaging Algorithms for Radiation Imaging Systems. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1225832.

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Marleau, Peter, Kyle Polack, and Sarah Pozzi. Advanced Imaging Algorithms for Radiation Imaging Systems. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1562401.

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Zhong He. Fast Neutron Imaging Systems. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/895007.

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Rockwell, Donald. Space-Time Imaging Systems. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada584973.

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Holmes, Philip. Nonlinear Dynamical Systems in Mechanics and Biology. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada299148.

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