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In our previous work, rapid detection methodologies have been established based on fluorescent nanobiosensors for simultaneous separation and detection of multiple foodborne pathogenic bacteria.
Many JAK2 V617F mutation detection methodologies have been developed and published over the last few years, only some of which are applicable to minimal residual disease [ 7- 13, 13- 18, 21- 27].
Nowadays, successful multiplex qPCR-based pathogen detection methodologies have been realized [ 12- 14]; however, due to a limited number of potential dyes, the attainable level of multiplexing is low [ 9, 15].
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To date, most statistical developments in QTL detection methodology have been directed at continuous traits with an underlying normal distribution.
To counteract chlorophyll interference with GFP detection, different methodologies have been developed for chlorophyll elimination in photosynthetic tissues, including exposure to alcohol [ 56], application of photobleaching herbicides [ 57] or use of gene silencing to suppress the Phytoene desaturase (PDS) gene [ 58].
Results using the detection of circulating prostate cells and using different methodologies have been discordant.
Several methodologies have been devised for the detection of the genomic fragments generated by a ChIP experiment (reviewed in [ 2]).
Several methodologies have been developed for bacterial detection based on techniques such as culturing, chemiluminescence, bioluminescence, and mass spectrometry.
Many various sophisticated computational methodologies have been designed and developed to support the new detection techniques which can effectively improve the quality of healthcare.
These have been integrated in a newly defined cell distributed detection and diagnosis algorithm, where the required associated architecture and methodology have been defined.
The described methodology has been successfully applied for the detection and identification of pathogenic bacterial species in milk [ 11].
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