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Detection of microsporidiosis classically has relied on electron microscopy and the histopathology of corneal or conjunctival biopsy specimens, the latter being essential for accurate speciation.
We suggest that because of the complexity of arsenic speciation in sulfidic solutions as indicated here and in previous studies,[17] speciation analysis using direct methods is necessary to yield accurate speciation models from solubility measurements.
Although Howard[31] proposed possible reaction mechanisms for the formation of ferroselite in a pyrite environment, the actual reactions occurring in the environment are not known; highlighting the need for accurate speciation studies.
Thick films have a higher sensitivity for diagnosis while thin films allow more accurate speciation and quantification of parasitaemia.
Accurate speciation of the causative agent in individuals with TB is not trivial and demands time and resources.
Although speciation was not carried out under microscopy, accurate speciation was undertaken using species specific primers [ 7].
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Yet, accurate times of speciation are difficult to estimate due to the lack of variation in sequence loci.
More accurate identification and speciation of environmental pathogens should assist infection prevention efforts and mitigate excess patient morbidity and mortality.
The phylogeny has previously been shown to provide an accurate representation of speciation patterns for Tanganyikan cichlids [ 28].
These inherent obstacles with accurate H. influenzae speciation have likely led to underreporting of false-positive and false-negative results for this clinically important bacterium [ 16, 22].
These models have a significant advantage over empirical or semi-empirical models because once calibrated, they should allow accurate prediction of metal speciation under varying solution compositions (e.g. in ionic strength, background electrolyte, competing ions, etc)., and thus should be useful in predicting metal speciation in a wide variety of systems.
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