Description: Stereology: Theory and Applications (Interdisciplinary Applied Mathematics, 59) Product Overview This book presents a comprehensive set of methods for quantifying geometric quantities such as the volume of a tumor, the total surface area of the alveoli in a lung, the length of plant roots, or of blood vessels, the number of neurons in a brain compartment, the connectivity number of trabecular bone, the mean size of grains in a rock, etc.. The methods, illustrated by twenty solved case studies, are based on properly sampled slices, sections, or projections of the material, observable under light, laser, or electron microscopy, or under non-invasive radiological devices such as ecography, computed tomography, or magnetic resonance imaging. Thus, the input usually consists of flat images, and the output consists of relevant quantities defined in three dimensions. Stereology is the discipline of providing sampling designs which warrant unbiased estimation of the corresponding quantities, that is, estimation with zero mean deviation from the target. Sampling is usually systematic (i.e., with regularly spaced probes), and sparse (as opposed to reconstructions) and it is thereby efficient and easy to implement.Stereology is essentially geometric sampling, grounded on integral geometry. The necessary elements of both disciplines are detailed in textbook style, and may be used for postgraduate courses, or to serve the interest of scientists in general. Hitherto no other book on stereology has appeared which encompasses the theory, methodology, and applications of stereology in an interconnected and comprehensive way. The currently available error variance prediction formulae under systematic sampling, and their (non-obvious) derivation, are all gathered, for the first time, in the last chapter. The exposition is augmented by 127 line drawings for the theory, and 27 color pictures of real materials for the case studies. Read more Details Publisher : Springer; 1st ed. 2024 edition (February 8, 2024) Language : English Hardcover : 502 pages ISBN-10 : 3031524500 ISBN-13 : 09 Item Weight : 2.02 pounds Dimensions : 6.14 x 1.06 x 9.21 inches Best Sellers Rank: #7,536,373 in Books (See Top 100 in Books) #942 in Anatomy (Books) #1,065 in Biochemistry (Books) #1,779 in Oncology (Books) #942 in Anatomy (Books) #1,065 in Biochemistry (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 3031524500
ISBN10: 3031524500
ISBN13: 9783031524509
EAN: 9783031524509
MPN: does not apply
Brand: NA
GTIN: 09783031524509
Number of Pages: Xvi, 486 Pages
Language: English
Publication Name: Stereology
Publisher: Springer
Subject: Geometry / General, Image Processing, General, Computer Vision & Pattern Recognition
Publication Year: 2024
Item Weight: 32.3 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science
Author: Luis Manuel Cruz-Orive
Item Width: 6.1 in
Series: Interdisciplinary Applied Mathematics Ser.
Format: Hardcover