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Bioinstrumentation or biomedical instrumentation is an application of biomedical engineering which focuses on development of devices and mechanics used to measure, evaluate, and treat biological systems.
The Ontology for Biomedical Investigations (OBI) is an open-access, integrated ontology for the description of biological and clinical investigations. [1] OBI provides a model for the design of an investigation, the protocols and instrumentation used, the materials used, the data generated and the type of analysis performed on it.
Biomedical instrumentation amplifier schematic used in monitoring low voltage biological signals, an example of a biomedical engineering application of electronic engineering to electrophysiology. Stereolithography is a practical example of medical modeling being used to create physical objects.
Advantages of using paper for microfluidics and electrophoresis in bio-MEMS include its low cost, biodegradability, and natural wicking action. [3] A severe disadvantage of paper-based microfluidics is the dependency of the rate of wicking on environmental conditions such as temperature and relative humidity. [18]
The Medical Image Computing and Computer Assisted Intervention Society (the MICCAI Society) is a professional association for medical image computing and computer-assisted medical interventions including biomedical imaging and robotics,
used in photochemical analysis and quantitative estimation of substances such as blood sugar, creatinine, and hemoglobin. Burette: used to measure the amount of acid or alkali used in titration: General laboratory stands, racks, filter paper, reagents, etc. Induction coils: as a source of high voltage electricity Cathode ray oscilloscope ...
Process analytical technology (PAT) has been defined by the United States Food and Drug Administration (FDA) as a mechanism to design, analyze, and control pharmaceutical manufacturing processes through the measurement of critical process parameters (CPP) which affect the critical quality attributes (CQA).
Bioimage informatics is a subfield of bioinformatics and computational biology. [1] It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput.