WA) for assistance with cDNA library construction, Steve Mole and Leon Hodgson for help in plant culture, staff of the Centre for Microscopy, Characterisation and Analysis (CMCA) at UWA for assistance in microscopy and Lena Soo for her help analysing peptide sequences.
We would like to acknowledge the Centre for Microscopy, Characterisation & Analysis, the FACS facility and the AGFR at Harry Perkins Institute.
The authors acknowledge the facilities, and the scientific and technical assistance of the National Imaging Facility at the Centre for Microscopy, Characterisation & Analysis, The University of Western Australia, a facility funded by the University, State and Commonwealth Governments.
We describe a new methodology for the characterisation and analysis of hyphal space-searching strategies, which uses purposefully designed three-dimensional microfluidics structures mimicking some of the characteristics of natural environments of the fungi.
The authors acknowledge the facilities, scientific and technical assistance of the Australian Microscopy & Microanalysis Research Facility at the Centre for Microscopy, Characterisation & Analysis, The University of Western Australia, a facility funded by The University, State and Commonwealth Governments.
The authors acknowledge the facilities, scientific and technical assistance of the Australian Microscopy & Microanalysis Research Facility at the Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, a facility funded by The University, State and Commonwealth Governments.
The analysis was structured as follows: - Descriptive statistics for characterisation and outcome variables, via exploratory analysis, using central trend and scatter measures for quantitative variables and analysis of proportions for qualitative variables.
SEM analysis is an important for characterisation technique for topographic study of the samples and gives the information regarding the growth mechanism, shape and size of the particles.
The first objective was to perform a meta-analysis on the diagnostic accuracy of medical imaging for characterisation of RC disorders.
Same goes for characterisation.
