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To find the optimal preparative method, we prepared diverse Col/CaP scaffolds using different collagen concentration and various crosslinking method: crosslinking with carbodiimide (EDC/NHS) and dehydrothermal treatment (DHT).
Using a straightforward and versatile synthetic method, we prepared DNA molecules with a series of thiol-terminated linkers containing either ethane, hexane, or xylene spacers connected either to a terminal deoxyribose C5′ or thymine C5.
Using this method, we prepared a catalyst library with Mo (0.2 4 nm) and Co (0.2 8 nm) thickness profiles on a SiO2/Si wafer and discovered active catalysts that grow vertically aligned single-walled carbon nanotubes by alcohol catalytic chemical vapor deposition.
To test the accuracy of our method, we prepared solutions of microspheres in de-ionized (DI) water.
Adopting the second method, we prepared the graphene aerogel with a superhigh C/O molar ratio by hydrogen reduction [21].
With robust optimization method we prepared ourselves for even worst case scenario in both demand and exchange rates, thereby, the decisions were made according to these circumstances.
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Methods: We prepared an anti-p75NTR monoclonal antibody applicable for flow cytometry and immunohistochemistry. p75NTR+ cells isolated from fetal liver by flow cytometry were characterized by reverse-transcription polymerase chain reaction, immunohistochemistry, and cell cultivation.
Addition to the proposed drilling methods, we prepared some drilling methods like Fig. 7 in order to compare them with proposed drilling methods.
In order to evaluate these methods, we prepared sequencing libraries from three HapMap samples using both methods for the same target region and sequenced the libraries using a Genome Analyzer IIx instrument (Illumina).
In order to correlate FFPE proximity assay data with other independent biochemical methods, we prepared soluble cell lysates from the same panel of cell lines and conducted Western blot and ELISA analysis.
To compare performances of methods, we prepared a dataset consisting of mass and calcification lesions extracted from Digital Database of Screening Mammography (DDSM) [ 11], the largest publicly available mammogram database.
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