1.

Record Nr.

UNINA9910583319403321

Titolo

Bancroft's theory and practice of histological techniques / / [edited by] S. Kim Suvarna, Christopher Layton, John D. Bancroft

Pubbl/distr/stampa

[Amsterdam, Netherlands] : , : Elsevier, , 2019

©2019

ISBN

9780702068867 (Electronic Book)

9780702068874 (Electronic Book)

Edizione

[Eighth edition.]

Descrizione fisica

1 online resource (573 pages) : illustrations (chiefly colour)

Disciplina

616.07583

Soggetti

Histology, Pathological - Technique

Histological Techniques

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Pathology laboratory management -- Chemical safety in the laboratory -- Light microscopy -- Fixation of tissues -- The gross room -- Tissue processing -- Microtomy -- Resin techniques -- Theory of histological staining -- The hematoxylins and eosin -- Automation in the histology department -- Connective and other mesenchymal tissues with their stains -- Carbohydrates -- Pigments and minerals -- Amyloid -- Traditional stains and modern techniques for demonstrating micro-organisms in histology -- Bone -- Neuropathology and muscle biopsy techniques -- Immunohistochemical and immunofluorescent techniques -- Molecular pathology -- Transmission electron microscopy -- Digital pathology -- Appendices. Diagnostic appendices. -- Traditional methods -- Tissue microarray -- Applications of immunohistochemistry -- Technical appendices. Measurement units -- Preparation of solutions -- Buffer solutions -- Solubility of some common reagents and dyes -- Mounting media and slide coatings.



2.

Record Nr.

UNINA9910299434703321

Titolo

Modern Technologies for Landslide Monitoring and Prediction / / edited by Marco Scaioni

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015

ISBN

3-662-45931-0

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (251 p.)

Collana

Springer Natural Hazards, , 2365-0656

Disciplina

55

551

621.382

624.151

910.285

Soggetti

Natural disasters

Geotechnical engineering

Remote sensing

Electrical engineering

Natural Hazards

Geotechnical Engineering & Applied Earth Sciences

Remote Sensing/Photogrammetry

Communications Engineering, Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

Close-Range Photogrammetric Techniques for Deformation Measurement: Applications to Landslides -- A Fixed Terrestrial Photogrammetric System for Landslide Monitoring -- A New Approach Based on Terrestrial Remote Sensing Techniques for Rock Fall Hazard Assessment -- Multi-Temporal Terrestrial Laser Scanning Survey of a Landslide -- Micro-Scale Landslide Displacements Detection Using Bayesian Methods Applied to GNSS Data -- Analysis of Microseismic Activity within Unstable Rock Slopes -- The State of the Art of SPH Modelling for Flow-Slide Propagation -- Predictability of A Physically-based Model for Rainfall-induced Shallow Landslides: Model



Development and Case Studies -- Monitoring Landslide Activities in the Three Gorges Area with Multi-Frequency Satellite SAR Datasets -- Radar Technologies for Landslide Detection, Monitoring, Early Warning and Emergency Management -- A new Approach to Satellite Time Series Co-registration for Landslide Monitoring.

Sommario/riassunto

Modern Technologies for Landslide Investigation and Prediction presents eleven contributed chapters from Chinese and Italian authors, as a follow-up of a bilateral workshop held in Shanghai on September 2013. Chapters are organized in three main parts: ground-based monitoring techniques (photogrammetry, terrestrial laser scanning, ground-based InSAR, infrared thermography, and GNSS networks), geophysical (passive seismic sensor networks) and geotechnical methods (SPH and SLIDE), and satellite remote-sensing techniques (InSAR and optical images). Authors of these contributes are internationally-recognized experts in their respective research fields.  Marco Scaioni works in the college of Surveying and Geo-Informatics at Tongji University, Shanghai (P.R. China). His research fields are mainly Close-range Photogrammetry, Terrestrial Laser Scanning, and other ground-based sensors for metrological and deformation monitoring applications to structural engineering and geosciences. In the period 2012-2016 he is chairman of the Working Group V/3 in the International Society for Photogrammetry and Remote Sensing, focusing on ‘Terrestrial 3D Imaging and Sensors’.