Immunohistochemistry, Quality Control, and Principles of Validation in the Central Nervous System.

The conventional hematoxylin and eosin stain (H&E) is vital for the histological diagnosis but the role of immunohistochemistry (IHC) in the central nervous system is undeniable. Immunohistochemical techniques detect antigens in tissue sections by immunological and chemical reactions. This chapter reviews the preanalytic, analytic, and postanalytic phases of immunohistochemistry, as well as the principles of quality control and validation.

Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL.

Background: Diffuse large B-cell lymphoma (DLBCL) is classified into germinal center-like (GCB) and non-germinal center-like (non-GCB) cell-of-origin groups, entities driven by different oncogenic pathways with different clinical outcomes. DLBCL classification by immunohistochemistry (IHC)-based decision tree algorithms is a simpler reported technique than gene expression profiling (GEP). There is a significant discrepancy between IHC-decision tree algorithms when they are compared to GEP.

A Postmortem Study of Frontal and Temporal Gyri Thickness and Cell Number in Human Obesity.

Objective: This study aimed to compare cortex thickness and neuronal cell density in postmortem brain tissue from people with overweight or obesity and normal weight.

Methods: The cortex thickness and neuron density of eight donors with overweight or obesity (mean = 31.6 kg/m ; SD = 4.