Flow Efficiency
Flow Efficiency - Related Videos
06:44
Curtain Flow Column: Optimization of Efficiency and Sensitivity
0 Views •
2016
Here, we present a protocol for the operation and optimization of Active Flow Technology (AFT) column in Curtain flow (CF) mode for enhanced separation performance.
10:43
Flow Cytometry Purification of Mouse Meiotic Cells
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Cited by 65 •
2011
An efficient method to obtain highly purified viable meiotic fractions from mouse testis is described, which combines a refined cell dissociation protocol with fluorescent activated cell sorting (FACS). This method takes advantage of differences in the DNA content and nuclear density of discrete meiotic fractions.
08:26
A Simple and Efficient Method to Detect Nuclear Factor Activation in Human Neutrophils by Flow Cytometry
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Cited by 23 •
2013
Neutrophils are the most abundant leukocytes in blood. Neutrophils possess transcriptionally regulated functions such as production of proinflammatory cytokines and inhibition of apoptosis. These functions can be studied with the method presented here, which allows detection and quantification of nuclear factors by flow cytometry in isolated...
09:21
Efficiency of Liquid-liquid Extraction
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2023
Source: Kerry M. Dooley and Michael G. Benton, Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA Liquid-liquid extraction (LLE) is a separation technique used instead of distillation when either: (a) the relative volatilities of the compounds to be separated are very similar; (b) one or more of the mixture components are temperature sensitive even near ambient conditions; (c) the distillation would require a very low pressure or a very high distillate/feed...
13:13
High Efficiency Differentiation of Human Pluripotent Stem Cells to Cardiomyocytes and Characterization by Flow Cytometry
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Cited by 84 •
2014
The article describes the detailed methodology to efficiently differentiate human pluripotent stem cells into cardiomyocytes by selectively modulating the Wnt pathway, followed by flow cytometry analysis of reference markers to assess homogeneity and identity of the population.
FAQs
A change in Flow Efficiency can result from reducing non-value-adding time, increasing value-added processing time, or both. Therefore, a higher measure does not automatically mean that each operation became faster. Engineers should examine which portion of elapsed time changed so they can connect the result to a specific improvement.
The measure helps separate capacity problems from interruptions between steps. If processing occupies much of lead time, limited processing capacity may constrain performance. If waiting, transport, inspection, rework, or other delays dominate, the larger opportunity lies in improving flow between activities. This distinction directs attention toward the relevant source of lost time.
These activities represent different sources of non-value-adding time, so combining them can conceal the reason a process performs poorly. Separating the categories shows whether elapsed time accumulates before processing, during movement, during checking, or after errors require correction. That detail helps engineers locate specific interruptions rather than treating the entire process as one undifferentiated delay.
Engineers can first visualize the workflow, then identify each processing step and the elapsed time associated with waiting, transport, inspection, rework, and other activities. They compare value-added processing time with total lead time and examine where delays accumulate. Repeating this analysis after changes helps determine whether the workflow has become less wasteful or more predictable.
Flow efficiency applies across manufacturing, software development, and service operations because each can be examined as a sequence of activities and delays. The measure gives teams a common way to discuss delivery performance without limiting analysis to one industry. Its value comes from exposing where elapsed time accumulates within the workflow.
After calculating the measure, engineers can compare the time spent processing with the time lost between steps. A low result highlights opportunities to reduce delays, rework, transport, inspection time, or waiting, while the pattern of losses indicates where to investigate first. Improvements can support higher throughput, lower operating costs, shorter delivery times, and more predictable production.