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An automated analyser is a medical laboratory instrument designed to measure various substances and other characteristics in a number of biological samples quickly, with minimal human assistance. These measured properties of blood and other fluids may be useful in the diagnosis of disease.
The AutoAnalyzer is an automated analyzer using a flow technique called continuous flow analysis (CFA), or more correctly segmented flow analysis (SFA) first made by the Technicon Corporation. The instrument was invented in 1957 by Leonard Skeggs, PhD and commercialized by Jack Whitehead's Technicon Corporation.
The Hitachi 917 is an automated biochemistry analyser utilise medical laboratories to process biological fluid specimens, such as urine, cerebrospinal fluid, and most commonly, blood. Manufactured by Boehringer Mannheim , the Hitachi 917 is a commonly used routine chemical bichromatic analyser.
System boundaries codes: R = reflecting, A = absorbing, T = transmitting, P = periodic, and I = interacting. * Algorithm is exact but software produced incorrect results at the time of original table compilation. † These benchmark run times are not comparable with others due to differing levels of detail.
Laboratory robots doing acid digestion chemical analysis. Laboratory robotics is the act of using robots in biology, chemistry or engineering labs. For example, pharmaceutical companies employ robots to move biological or chemical samples around to synthesize novel chemical entities or to test pharmaceutical value of existing chemical matter.
This automated quantitative Data-independent acquisition-proteomics software, developed by the Demichev and Ralser labs at the Charité in Berlin, Germany, implements a machine-learning algorithm based on an ensemble of deep neural networks, to boost proteomic depth and reliability of peptide and protein identification. DIA-NN is optimized for ...
The partnerships sold hundreds of the 3700 analyzers to Celera, and also to others worldwide. [1] [17] The new machine cost US$300,000 each, but was a major leap beyond its predecessor, the 377, and was fully automated, allowing genetic decoding to run around the clock with little supervision.
The principal difference of power-law models with respect to other ODE models used in biochemical systems is that the kinetic orders can be non-integer numbers. A kinetic order can have even negative value when inhibition is modeled. In this way, power-law models have a higher flexibility to reproduce the non-linearity of biochemical systems.