Related Experiment Video
Updated: Jul 30, 2026
12:27
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
[The use of small and large computers for setting up data banks for morphometry]
G Wassilew1, K Frölich, G Fitzl
1Institut für Pathologische Anatomie des Bereichs Medizin (Charité) der Humboldt-Universitt zu Berlin.
Gegenbaurs Morphologisches Jahrbuch
|January 1, 1989
Summary
This study presents a morphometric method for organizing scientific research data on a large-scale computer. Scientists can now access and process this data remotely using a distributed system.
Area of Science:
- Computer Science
- Data Management
- Scientific Computing
Context:
- Organizing and structuring large scientific research data masses.
- Utilizing the ESER-1056 large-scale computer for data realization.
- Integration of the "Statist" scientific program for data processing.
Purpose:
- To present a morphometric method for data organization and structure.
- To describe a distributed data processing system.
- To enable direct scientist access to data massifs from their workstations.
Summary:
- A morphometric method is employed to organize scientific research data.
- A data massif is realized on an ESER-1056 computer, incorporating the "Statist" program.
- A telecommunication link between personal and large-scale computers enables distributed data processing.
Impact:
- Facilitates efficient management and accessibility of scientific research data.
- Enhances data processing capabilities through distributed computing.
- Empowers scientists with direct access to comprehensive data resources from their work sites.
