Sentence examples for morphological analysis data from inspiring English sources

The initial time-course experiments showed that prolonged exposure (3 hr) to LMB resulted in significant cell death based on morphological analysis (data not shown).

In these disorders, morphological analysis of MRI data has identified early abnormalities in cortical structure [Courchesne et al., 2003] as well as white matter architecture [Wolff et al., 2012].

Morphological analysis compared with genetic data indicates considerable phenotypic plasticity in this group.

This finding was also supported by morphological analysis of semithin sections (data not shown).

Morphological analysis corresponds with genetic data as populations are almost exclusively grouped according to major river basins, except for divergence within the Selenga basin, a phenomenon common to the genetic data set.

Both morphological analysis and cell-surface staining data suggested that a large fraction of day 21 reprogrammed hematopoietic cells were already mature and differentiated at this stage.

NeuriteQuant is a freely available open-source tool which enables automated morphological analysis of large-scale image data from neuronal cultures or brain sections.

While it might not be necessary to routinely obtain DNA sequence from every interception, we recommend that the specimens should be treated (tissue sampling, specimen preservation) and stored (voucher specimen and tissue sample collections) in a manner that enables future genetic (e.g. mtDNA data) and morphological analysis of the detections.

In this study we integrate current and palaeoclimatic information with a molecular phylogeography, morphological analysis and experimentally derived thermal tolerance data to understand the role of thermal niche differences in shaping geographical expansion and speciation processes within the A. brunneus complex.

Effective neutrophil depletion (>90%) was confirmed by morphological analysis of blood and BAL cells (data not shown).

This study demonstrates how sequence data, combined with morphological analysis and innovations in imaging and web delivery, have set the stage for accelerated discovery and documentation of global species diversity.