Diagnostic Tools
Diagnostic Tools - Related Videos
16:05
Using Micro-Electro-Mechanical Systems (MEMS) to Develop Diagnostic Tools
0 Views •
Cited by 1 •
2007
07:45
Tear-Derived Exosomal miR-15a as New Diagnostic Tool for Diabetic Retinopathy
0 Views •
Cited by 1 •
2025
This article describes a protocol for the collection and detection of miR-15a from tears as a new diagnostic tool for diabetic retinopathy.
08:19
Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics
0 Views •
Cited by 24 •
2009
Lensfree on-chip imaging and characterization of cells is illustrated. This on-chip cell imaging approach provides a compact and cost-effective tool for medical diagnostics and high-throughput cell biology applications, making it especially suitable for resource poor settings.
10:21
Microfluidic Applications for Disposable Diagnostics
0 Views •
Cited by 1 •
2008
In this interview, Dr. Klapperich discusses the fabrication of thermoplastic microfluidic devices and their application for development of new diagnostics.
21:15
Diagnostic Necropsy and Tissue Harvest
0 Views •
2016
Source: Kay Stewart, RVT, RLATG, CMAR; Valerie A. Schroeder, RVT, RLATG. University of Notre Dame, IN Many animal experiments rely on final data collection time points that are gathered from the harvesting and testing of organs and tissues. The use of appropriate methods for the collection of organs and tissues can impact the quality of the samples and the analysis of the data that is gleaned for the testing of the tissues. The method of euthanasia of the animal can also impact the quality of...
FAQs
They translate molecular events into signals that can be detected and interpreted. Molecular recognition may identify a specific target, chemical reactions can reveal enzyme or metabolite activity, and separation methods distinguish components within a sample. Signal detection then converts these interactions into measurements, allowing abnormal concentrations, altered activity, or molecular markers to be evaluated.
Sensitivity and specificity describe different aspects of diagnostic performance. Sensitivity influences how effectively a tool detects the relevant biological change, whereas specificity reflects how well it distinguishes that target from other signals or conditions. Considering both helps determine how confidently a measured result supports screening, diagnosis, monitoring, or treatment-related decisions.
The analyte determines which biochemical principle and measurement strategy are appropriate. Diagnostic tools may examine proteins, enzymes, metabolites, nucleic acids, or antibodies, each providing different information about biological state. Measuring their concentration, activity, or presence can reveal disease-associated changes and helps connect laboratory findings with biochemical processes occurring in the body.
Methods differ in the biological interaction they exploit and in how the resulting signal is produced. One approach may rely on molecular recognition, another on a chemical reaction, and another on separation before detection. These distinctions affect what can be measured and how precisely the resulting information supports interpretation of health or disease.
A typical workflow begins by selecting the biological molecule or biochemical change relevant to the question. The sample is then analyzed through recognition, reaction, separation, or another supported measurement principle, followed by signal detection and interpretation. The resulting value or pattern is assessed for abnormality and considered in relation to diagnosis, screening, or monitoring.
Their role depends on the information needed. Screening uses biochemical measurements to look for indications of disease, diagnosis evaluates findings associated with a suspected condition, and monitoring tracks changes over time. The same general class of tool can therefore support different decisions, provided its accuracy, sensitivity, and specificity are appropriate for the intended use.
They can provide measurements of molecular concentration, enzyme activity, or the presence of particular markers such as nucleic acids or antibodies. Results may indicate that a biochemical value is abnormal or that a disease-associated molecule is detectable. Interpreted appropriately, these findings contribute to clinical decisions and to research on biological changes linked with disease.
Advances in biosensors, automation, and molecular analysis are expanding how biochemical testing can be performed. Biosensors support signal detection from biological interactions, automation can streamline testing processes, and molecular analysis broadens the information available from biological samples. Together, these developments are associated with faster testing and more precise biochemical measurements in clinical and research settings.