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The morphologies of individual bones are crucial for their functions within the skeleton, and vary markedly during evolution.
Due to the high density and wide coverage of immunoreactive processes, this approach generally reveals only minimal information about the morphologies of individual neurons.
The most widely used methods for defining the morphologies of individual mammalian neurons involve fluorescent dye or neurobiotin filling by intracellular injection.
By contrast, when morphants developed to post-embryonic stages (∼8.1 9.0 SSL, 21 dpf) we frequently observed curvature of the fully mineralized vertebral column, as well as abnormal morphologies of individual vertebrae (Fig. 4C,E).
Over the past several decades, methods for visualizing the morphologies of individual neurons have been developed that are based on intracellular injection of tracers such as horse-radish peroxidase (HRP), neurobiotin or biocytin, and dextran-conjugated fluorescent dyes, or bombardment with particles coated by carbocyanine dyes [2] [5].
The morphologies of individual monomers and monomers within each structure are evident.
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Evidence of genetic exchange and nested relationships across morphologically disparate cave and spring forms within the E. neotenes complex suggests that cave invasion in this group was recent and many troglomorphic morphologies (of individuals typically assigned to E. tridentifera) arose independently.
Dendritic spines undergo bidirectional morphological changes in response to neuronal activity, and the morphology of individual spines is correlated with synaptic strength and their capacity to undergo activity-dependent plasticity [4] [6].
To estimate possible morphological bias that predicts preferred direction in the retina, we examined the dendritic morphology of individual GFP+ MTN-P cells (n = 16 cells) and GFP− MTN-P cells (n = 15) by single-cell injection with DiI at P12 (Figure 3A).
To evaluate the influence of morphology of individual spermatozoa on fertilization and pregnancy outcome.
Our custom made, high content image analysis algorithm profiles the cell populations and changes in the morphology of individual nuclei at the single cell level.
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