needle biopsy), projected images, and other kinds of 'sampling'. 3D microscope images), one-dimensional probes (e.g. In addition to two-dimensional plane sections, stereology also applies to three-dimensional slabs (e.g. New innovations such as the proportionator continue to make important improvements in the efficiency of stereological procedures. Stereology is a developing science with many important innovations being developed mainly in Europe. It is an important and efficient tool in many applications of microscopy (such as petrography, materials science, and biosciences including histology, bone and neuroanatomy). Stereology is a method that utilizes random, systematic sampling to provide unbiased and quantitative data. It provides practical techniques for extracting quantitative information about a three-dimensional material from measurements made on two-dimensional planar sections of the material. It is an interdisciplinary field that is largely concerned with the three-dimensional interpretation of planar sections of materials or tissues. In practice, it was originally defined in modern science as "the spatial interpretation of sections". Is this the first time you stumble on the word stereology?įrom its greek roots "stereo"and"logos" the term means the "science of studying solids". ISSIA Board: Aleš Kladnik, Bruno Figliuzzi, Jitka Čočková, Eric Pirard, Augusto Coppi, Johan Debayle, Karl-Anton Dorph-Petersen, Aneta Gądek-Moszczak, Dorothy E. Dvoralai Wulfsohn ( agricultural engineering, Geco Enterprises, Chile).Xiaoyan Song ( stereology in materials science, visualization simulation Beijing University of Technology, China).Ramya ( image processing, mathematical morphology and machine vision Hindustan Institute of Technology and Science, India)
![image analysis and stereology image analysis and stereology](https://www.adcis.net/wp-content/uploads/2018/12/StereologyAnalyzer_GUI.png)
Peterson ( image analysis, stereology and microscopy in biomedicine The Chicago Medical School, USA) Oorschot ( stereology in biomedicine and neuroscience University of Otago, Dunedin, New Zealand) Aneta Gądek-Moszczak ( image analysis and stereology in materials science and medicine Cracow University of Technology, Poland).Karl-Anton Dorph-Petersen ( stereology in biosciences Aarhus University, Denmark).Johan Debayle ( image processing and analysis, mathematical morphology, pattern recognition and stochastic geometry, MINES Saint-Etienne, France).Augusto Coppi ( stereology in biomedicine School of Veterinary Medicine, University of Central Lancashire, Preston, UK).Eric Pirard ( particle shape analysis in geosciences University of Liège, Belgium).Jitka Čočková ( economics Institute of Physiology, Prague, Czech Republic).
![image analysis and stereology image analysis and stereology](https://www.researchgate.net/publication/283975577/figure/fig1/AS:296599063416839@1447726135426/Diagrammatic-illustration-of-stereological-analysis-of-neuron-counting-utilizing-Olympus.png)
#Image analysis and stereology windows
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. journal self-citations removed) received by a journal's published documents during the three previous years.Įxternal citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.Įvolution of the number of total citation per document and external citation per document (i.e. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.Įvolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values. The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles.