International Society for
Stereology & Image Analysis
We have lost one of the greatest founders of modern stereology, Hans Jørgen Gottlieb Gundersen. As a professor at the Stereological Research Laboratory at Aarhus University, he invented a number of revolutionary methods for accurately determining the number and size of cells and structures, based on spatial sampling principles: disector, fractionator, proportionator, nucleator, rotator, point-sampled intercepts, orthogonal intercepts, vertical sections, isector, and 2D unbiased counting frame. As a true stereologist, Hans Jørgen never counted everything, he estimated the structural quantities in a sample of the whole organ/structure and therefore he also contributed greatly to the estimation of the error variance - coefficient of error - of the estimate. He economized sampling in the famous paper 'Do more less well!'.
Jens Randel Nyengaard
Obituary for Hans Jørgen Gottlieb Gundersen in Image Analysis & Stereology
The 13th European Congress for Stereology and Image Analysis ECSIA’2021 will be held in the Ecole Nationale Supérieure Des Mines in Saint-Etienne, France, on June 28-July 1, 2021.
ECSIA is a high-level conference of the International Society for Stereology & Image Analysis (ISSIA) aiming to pr...
The International Society for Stereology and Image Analysis (ISSIA) organizes a PhD competition intended to recognize a PhD conducted in the area of stereology and/or image analysis. The competition is open to PhD students who defended their thesis not earlier than 54 months before the date of deadl...
Practical Workshop in Confocal Microscopy and Quantitative Histology (August 2020) UPDATED
19 Jul 2020
The 2020 Workshop directed by Daniel A. Peterson is offered on August 10-14, 2020. The course is reorganized to be held virtually. The purpose of this workshop is to provide a comprehensive background in the theory and practice of modern histological preparation and microscopic analysis for research...
Accurately quantifying nervous system composition is critical for evaluating significant changes over time or after injury/treatment, but numbers are traditionally obtained by human observation. With machine learning, it becomes possible to train software to recognize and quantify cells of interest....