Related Experiment Video
Updated: Jan 29, 2026

05:33
Introducing Clicker Training as a Cognitive Enrichment for Laboratory Mice
Published on: March 6, 2017
13.5K
Digital immunohistochemistry implementation, training and validation: experience and technical notes from a large
Bethany Jill Williams1,2, Dharshana Jayewardene2, Darren Treanor3,2
1Histopathology Department, Bexley Wing, St James University Hospital, Leeds, UK bethany.williams2@nhs.net.
Journal of Clinical Pathology
|February 16, 2019
Summary
Digital immunohistochemistry (IHC) offers value in clinical labs. A robust validation and implementation approach ensures accurate digital slide assessment, improving pathologist confidence and workflow efficiency.
Area of Science:
- Digital pathology
- Clinical laboratory services
- Immunohistochemistry
Background:
- Clinical immunohistochemistry (IHC) is crucial for diagnosis.
- Digitization offers potential benefits for IHC services.
- Implementation requires careful planning and validation.
Purpose of the Study:
- To evaluate the value of digitizing clinical IHC services.
- To develop an approach for digital IHC implementation and validation.
- To assess the feasibility in a large clinical laboratory setting.
Main Methods:
- Developed a slide scanning methodology.
- Implemented a novel validation exercise for pathologists.
- Assessed digital IHC slides for reporting strengths and weaknesses.
Main Results:
- 1480 digital IHC slides assessed by 24 pathologists.
- Complete clinical concordance between digital and glass slides.
- Rescanning at ×40 improved assessment confidence for difficult stains.
Conclusions:
- Well-managed digitization minimizes review delays.
- Careful validation of digital pathology systems and protocols is essential.
- Pathologists require training before transitioning to digital microscopy for routine IHC.
Related Concept Videos
Reliability and Validity
13.9K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.9K
Nursing Implementation
6.1K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
6.1K
Immunocytochemistry and Immunohistochemistry
13.7K
Immunocytochemistry (ICC) and immunohistochemistry (IHC) are techniques that use antibodies to check for specific proteins or antigens in a sample. The technique was first published by Albert Coons in 1941 to detect the presence of pneumococcal antigen in tissue sections from mice infected with Pneumococcus. Immunocytochemistry helps localization of proteins or antigens in individual cells like blood cells, stem cells, etc., while immunohistochemistry does the same for tissue samples.
These...
These...
13.7K
Data Validation
1.3K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
1.3K
Data Validation
6.7K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
6.7K
What is an Experiment?
17.8K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
17.8K

