scholarly journals William K. Ovalle PhD, Patrick C. Nahirney PhD Netter's Essential Histology: With Correlated Histopathology (Netter Basic Science) 3rd Edition

Morphologia ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 90-91
Author(s):  
William K. Ovalle PhD, Patrick C. Nahirney PhD

With strong correlations between gross anatomy and the microanatomy of structures, Netter’s Essential Histology, 3rd Edition, is the perfect text for today’s evolving medical education. Concise and easy to use, it integrates gross anatomy and embryology with classic histology slides and state-of-the-art scanning electron microscopy, offering a clear, visual understanding of this complex subject. Additional histopathology images, more clinical boxes, and new histopathology content ensure that this textbook-atlas clearly presents the most indispensable histologic concepts and their clinical relevance.Helps you recognize both normal and diseased structures at the microscopic level with the aid of succinct explanatory text as well as numerous clinical boxes. Features more histopathology content and additional clinical boxes to increase your knowledge of pathophysiology and clinical relevance. Includes high-quality light and electron micrographs, including enhanced and colorized electron micrographs that show ultra-structures in 3D, side by side with classic Netter illustrations that link your knowledge of anatomy and cell biology to what is seen in the micrographs. Provides online access to author-narrated video overviews of each chapter, plus Zoomify images and Virtual Slides that include histopathology and can be viewed at different magnifications.

1981 ◽  
Vol 29 (9) ◽  
pp. 1043-1052 ◽  
Author(s):  
E R Weibel

The current state of the art in morphometric cell biology is reviewed by looking at the developmental state of stereological methods, and at the approaches used to arrive at quantitative structure-function correlation. Stereological methods have reached a fairly advanced level of sophistication since mathematical stereology has been developed as a branch of geometric probability theory. The application of these methods in cell biology lags behind, both quantitatively and qualitatively. Among the strategies used in exploiting stereological methods in cell biology the physiological approach (where a change is induced experimentally and its effect on the cells is followed by biochemical and morphometric methods) ranks highest and is still valid. More analytical approaches, such as combining stereology and biochemistry in cell fraction studies, are fraught with difficulties. In considering future developments of stereological methods, the emphasis will have to be 1) on developing procedures for eliminating biases such as section thickness or resolution effects, and 2) on increasing the efficiency of the methods by better sampling rules and improved instrumentation. The future trends in morphometric cell biology might best be served by exploiting the potentials of histochemistry and stereology by combining them with a view to 1) establishing procedures for cell-specific sampling and 2) developing methods towards "molecular morphometry" on the basis of immunocytochemical labeling.


2019 ◽  
Author(s):  
Christopher T. Lee ◽  
Justin G. Laughlin ◽  
Nils Angliviel de La Beaumelle ◽  
Rommie E. Amaro ◽  
J. Andrew McCammon ◽  
...  

AbstractObjectiveRecent advances in electron microscopy have, for the first time, enabled imaging of single cells in 3D at a nanometer length scale resolution. An uncharted frontier for in silico biology is the ability to simulate cellular processes using these observed geometries. However, this will require a system for going from EM images to 3D volume meshes which can be used in finite element simulations.MethodsIn this paper, we develop an end-to-end pipeline for this task by adapting and extending computer graphics mesh processing and smoothing algorithms. Our workflow makes use of our recently rewritten mesh processing software, GAMer 2, which implements several mesh conditioning algorithms and serves as a platform to connect different pipeline steps.ResultsWe apply this pipeline to a series of electron micrographs of dendrite morphology explored at three different length scales and show that the resultant meshes are suitable for finite element simulations.ConclusionOur pipeline, which consists of free and open-source community driven tools, is a step towards routine physical simulations of biological processes in realistic geometries.SignificanceWe posit that a new frontier at the intersection of computational technologies and single cell biology is now open. Innovations in algorithms to reconstruct and simulate cellular length scale phenomena based on emerging structural data will enable realistic physical models and advance discovery.


Author(s):  
Jing Yu ◽  
Yuan Chai ◽  
Yujing Wang ◽  
Yue Hu ◽  
Qi Wu

Scene graphs are semantic abstraction of images that encourage visual understanding and reasoning. However, the performance of Scene Graph Generation (SGG) is unsatisfactory when faced with biased data in real-world scenarios. Conventional debiasing research mainly studies from the view of balancing data distribution or learning unbiased models and representations, ignoring the correlations among the biased classes. In this work, we analyze this problem from a novel cognition perspective: automatically building a hierarchical cognitive structure from the biased predictions and navigating that hierarchy to locate the relationships, making the tail relationships receive more attention in a coarse-to-fine mode. To this end, we propose a novel debiasing Cognition Tree (CogTree) loss for unbiased SGG. We first build a cognitive structure CogTree to organize the relationships based on the prediction of a biased SGG model. The CogTree distinguishes remarkably different relationships at first and then focuses on a small portion of easily confused ones. Then, we propose a debiasing loss specially for this cognitive structure, which supports coarse-to-fine distinction for the correct relationships. The loss is model-agnostic and consistently boosting the performance of several state-of-the-art models. The code is available at: https://github.com/CYVincent/Scene-Graph-Transformer-CogTree.


2014 ◽  
Vol 6 (245) ◽  
pp. 245sr2-245sr2 ◽  
Author(s):  
Sangeeta N. Bhatia ◽  
Gregory H. Underhill ◽  
Kenneth S. Zaret ◽  
Ira J. Fox

Despite the tremendous hurdles presented by the complexity of the liver’s structure and function, advances in liver physiology, stem cell biology and reprogramming, and the engineering of tissues and devices are accelerating the development of cell-based therapies for treating liver disease and liver failure. This State of the Art Review discusses both the near- and long-term prospects for such cell-based therapies and the unique challenges for clinical translation.


Author(s):  
Giada Forlani ◽  
Barbara Di Ventura

Abstract The nucleus is a very complex organelle present in eukaryotic cells. Having the crucial task to safeguard, organize and manage the genetic information, it must tightly control its molecular constituents, its shape and its internal architecture at any given time. Despite our vast knowledge of nuclear cell biology, much is yet to be unraveled. For instance, only recently we came to appreciate the existence of a dynamic nuclear cytoskeleton made of actin filaments that regulates processes such as gene expression, DNA repair and nuclear expansion. This suggests further exciting discoveries ahead of us. Modern cell biologists embrace a new methodology relying on precise perturbations of cellular processes that require a reversible, highly spatially-confinable, rapid, inexpensive and tunable external stimulus: light. In this review, we discuss how optogenetics, the state-of-the-art technology that uses genetically-encoded light-sensitive proteins to steer biological processes, can be adopted to specifically investigate nuclear cell biology.


1987 ◽  
Vol 65 (8) ◽  
pp. 1515-1515
Author(s):  
Paul I. Korner ◽  
Frans H. H. Leenen

This is only the second time in the long history of the International Physiological Congresses that a symposium on hypertension has formed part of the official satellite programme. After the 1983 IUPS Congress in Sydney, John Chalmers organized a magnificent satellite meeting at the Flinders Medical Centre in South Australia and we felt that we wished to continue the "tradition." Hypertension research has provided a wonderful example in recent years of how exciting it can be to apply very basic discoveries to the solution of practical problems. This meeting breaks new ground in being the first scientific event sponsored jointly by the Canadian Hypertension Society and the Australian High Blood Pressure Council. The meeting was made possible by generous financial support from Pfizer Canada and Pfizer Australia with, as co-contributors, Bayer Germany and Sandoz Australia. We would also like to acknowledge the help of Mrs. A. Garat of Pfizer Canada Medical Services in the organization of the meeting and Dr. Andrew Rankin who was responsible for all local arrangements.The Hypertension Satellite was held at Whistler, B.C., July 19–21, 1986, following the 30th International Congress of the International Union of Physiological Sciences in Vancouver. It provided a good forum for interdisciplinary information exchange. It also proved to be a pleasant social occasion in the beautiful setting of the coastal range of the Canadian Rockies. There were 48 invited speakers from Canada, Australia, Europe, the U.S.A., Japan, and New Zealand. We were fortunate in having as our patrons two great names in hypertension research, Dr. Arthur Guyton and Dr. Sydney Friedman.Emphasis was on a large range of mechanisms that regulate blood pressure. There were sessions on cell biology, the kidney, autonomic nervous regulation, peptides (including, of course, atrial natriuretic peptide and arginine vasopressin), and pathogenesis. The proceedings provide an up-to-date account of the position of the current "state of the art" in a number of important areas.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Anindita Dasgupta ◽  
Joran Deschamps ◽  
Ulf Matti ◽  
Uwe Hübner ◽  
Jan Becker ◽  
...  

Abstract3D single molecule localization microscopy (SMLM) is an emerging superresolution method for structural cell biology, as it allows probing precise positions of proteins in cellular structures. In supercritical angle localization microscopy (SALM), z-positions of single fluorophores are extracted from the intensity of supercritical angle fluorescence, which strongly depends on their distance to the coverslip. Here, we realize the full potential of SALM and improve its z-resolution by more than four-fold compared to the state-of-the-art by directly splitting supercritical and undercritical emission, using an ultra-high NA objective, and applying fitting routines to extract precise intensities of single emitters. We demonstrate nanometer isotropic localization precision on DNA origami structures, and on clathrin coated vesicles and microtubules in cells, illustrating the potential of SALM for cell biology.


2021 ◽  
Vol 25 (1) ◽  
pp. 53-58
Author(s):  
S. Inichinbia ◽  
P.O. Saule

This work presents a modern procedure for understanding seismic data wavelets through well-toseismic tie on an onshore field in the Nigerian Delta using the state-of-the-art techniques. The purpose of this work is the correlation of formation tops and seismic  reflectors in the field. The objectives among others include the calibration of the seismic data in terms of polarity and phase, as well as to ensure that the seismic data is descriptive to well markers and discoveries, extending knowledge from the well location to rest of the field and reducing uncertainties. Logs from the two wells on the field and also logs from three wells on neighbouring fields were used to establish lateral continuity of the reservoirs H1000 and H4000. Their results show that the top, base and thickness of both reservoirs are quite variable laterally and this posed some challenges in the correlation from well to well. The field does not have checkshot data, so checkshot data from one of the wells on the neighbouring field was borrowed. Calibrated sonic and density logs of well01 and  well-02 were used to assess the seismic ties at the well locations. Strong correlations at the wells are fundamental to the evaluation of the spatial extent of the horizons around the wells from the seismic data. Seismic-to-well ties are a very important part of the interpreter’s business as they provide a means of correctly identifying horizons to pick, and estimating the wavelet for inverting seismic data to impedance and rock property indicators. Keywords: Seismic, horizons, correlation, synthetics


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