Theory of Sampling in Tissue-Based Diagnosis
Author Information
Author(s): Kayser Klaus, Schultz Holger, Goldmann Torsten, Görtler Jürgen, Kayser Gian, Vollmer Ekkehard
Primary Institution: UICC-TPCC, Institute of Pathology, Charite, Berlin, Germany
Hypothesis
How can the availability of and access to digitized histological slides be used to make the pathologist's work more effective?
Conclusion
The method is useful in standardization of images derived from immunohistochemically stained slides and can be applied for the search of rare events with significant functions.
Supporting Evidence
- Sampling is defined as extraction of information from limited spaces.
- Random sampling does not require knowledge about the reference space.
- Stratified sampling requires knowledge of objects and evaluates spatial features.
Takeaway
This study explains how to take samples from tissue to help doctors make better diagnoses. It shows that using the right sampling methods can save time and improve accuracy.
Methodology
The study discusses random and stratified sampling methods used in diagnostic processes.
Digital Object Identifier (DOI)
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