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کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

Imaging Cellular and Molecular Biological Functions (Principles and Practice) (Principles and Practice)

Kristin L. Hazelwood, Scott G. Olenych, John D. Griffin, Judith A. Cathcart (auth.), Dr. Spencer L. Shorte, Dr. Friedrich Frischknecht (eds.)

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

سال انتشار
۲۰۰۷
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱۸٫۸ مگابایت
شابک
9783540713302، 9783540713319، 3540713301، 354071331X

دربارهٔ کتاب

“Imaging Cellular and Molecular Biological Function” provides a unique selection of essays by leading experts, aiming at scientist and student alike who are interested in all aspects of modern imaging, from its application and up-scaling to its development. The chapter content ranges from the basic through to complex overview of method and protocols, and there is also practical and detailed “how-to” content on important, but rarely addressed topics. This first edition features all-colour-plate chapters. The philosophy of this volume is to provide student, researcher, PI, professional or provost the means to enter this applications field with confidence, and to construct the means to answer their own specific questions. Front Matter....Pages i-xxi Front Matter....Pages 2-2 Entering the Portal: Understanding the Digital Image Recorded Through a Microscope....Pages 3-43 Quantitative Biological Image Analysis....Pages 45-70 The Open Microscopy Environment: A Collaborative Data Modeling and Software Development Project for Biological Image Informatics....Pages 71-92 Design and Function of a Light-Microscopy Facility....Pages 93-113 Front Matter....Pages 116-116 Quantitative Colocalisation Imaging: Concepts, Measurements, and Pitfalls....Pages 117-155 Quantitative FRET Microscopy of Live Cells....Pages 157-181 Fluorescence Photobleaching and Fluorescence Correlation Spectroscopy: Two Complementary Technologies To Study Molecular Dynamics in Living Cells....Pages 183-233 Single Fluorescent Molecule Tracking in Live Cells....Pages 235-263 From Live-Cell Microscopy to Molecular Mechanisms: Deciphering the Functions of Kinetochore Proteins....Pages 265-285 Front Matter....Pages 288-288 Towards Imaging the Dynamics of Protein Signalling....Pages 289-312 New Technologies for Imaging and Analysis of Individual Microbial Cells....Pages 313-343 Imaging Parasites in Vivo....Pages 345-364 Computer-Assisted Systems for Dynamic 3D Reconstruction and Motion Analysis of Living Cells....Pages 365-384 High-Throughput/High-Content Automated Image Acquisition and Analysis....Pages 385-405 Cognition Network Technology – A Novel Multimodal Image Analysis Technique for Automatic Identification and Quantification of Biological Image Contents....Pages 407-422 High-Content Phenotypic Cell-Based Assays....Pages 423-442 Back Matter....Pages 443-449 Considerations For Routine Imaging -- Entering The Portal: Understanding The Digital Image Recorded Through A Microscope -- Quantitative Biological Image Analysis -- The Open Microscopy Environment: A Collaborative Data Modeling And Software Development Project For Biological Image Informatics -- Design And Function Of A Light-microscopy Facility -- Advanced Methods And Concepts -- Quantitative Colocalisation Imaging: Concepts, Measurements, And Pitfalls -- Quantitative Fret Microscopy Of Live Cells -- Flourescence Photobleaching And Flourescence Correlation Spectroscopy: Two Complementary Technologies To Study Molecular Dynamics In Living Cells -- Single Fluorescent Molecule Tracking In Live Cells -- From Live-cell Microscopy To Molecular Mechanisms: Deciphering The Functions Of Kinetochore Proteins -- Cutting Edge Applications & Utilities -- Towards Imaging The Dynamics Of Protein Signalling -- New Technologies For Imaging And Analysis Of Individual Microbial Cells -- Imaging Parasites In Vivo -- Computer-assisted Systems For Dynamic 3d Reconstruction And Motion Analysis Of Living Cells -- High-throughput/high-content Automated Image Acquisition And Analysis -- Cognition Network Technology: A Novel Multimodal Image Analysis Technique For Automatic Identification And Quantification Of Biological Image Contents -- High-content Phenotypic Cell-based Assays. Spencer L. Shorte, Friedrich Frischknecht, Editors. Includes Bibliographical References And Index.

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