Related Experiment Video

Updated: Jul 28, 2026

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: November 1, 2010

Types and Frequency of Errors in the Pre-Analytical Phase in the Clinical Laboratory - Single Center Study from

Mirsad Panjeta, Amela Dervisevic, Sanela Hajro

    Clinical Laboratory
    |March 7, 2022
    PubMed
    Abstract

    Keywords:
    pre-analytical phaselaboratory qualityclinical error typesmedical sample handling

    More Related Videos

    Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques11:28

    Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques

    Published on: March 13, 2015

    Evaluation of a Point-of-Care Testing Analyzer for Measuring Peripheral Blood Leukocytes05:58

    Evaluation of a Point-of-Care Testing Analyzer for Measuring Peripheral Blood Leukocytes

    Published on: March 22, 2022

    Related Concept Videos

    Random and Systematic Errors01:20

    Random and Systematic Errors

    Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
    Systematic Error: Methodological and Sampling Errors01:15

    Systematic Error: Methodological and Sampling Errors

    In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
    Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
    Data Validation01:15

    Data Validation

    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:
    Contaminants and Errors01:16

    Contaminants and Errors

    Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
    Another key consideration is determining the appropriate number of samples required to...
    Accuracy and Errors in Hypothesis Testing01:13

    Accuracy and Errors in Hypothesis Testing

    Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
    In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
    Automated Microbial Diagnostics01:24

    Automated Microbial Diagnostics

    Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...