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High-throughput spatial transcriptomic techniques, including sequential smFISH18, spatial transcriptomics19 and MERFISH20, have also been applied to map cellular diversity in human and mouse brain21.
Previously, spatio-temporal image correlation spectroscopy has been applied to map molecular flows by correlation analysis of fluorescence fluctuations in image series.
Multiple Endmember Spectral Mixture Analysis (MESMA) can be used for both classification and modeling fractional composition, and has been applied to map multiple biogeophysical variables.
Off-axis and in-line electron holography have been applied to map potential variations in CIGS thin-film solar cells on different length scales.
The same approach has been applied to map flood plumes using moderate resolution imaging spectroradiometer (MODIS) imagery, allowing assessment of their extent and influence on GBR ecosystems (Bainbridge et al. 2012 Brodie et al. 2010 Devlin et al. 2012a, b Schroeder et al. 2012 Álvarez-Romero et al. 2013).
Its first generation linkage map has been applied to map QTL for growth traits.
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The concept of low-to-zero flow at subauroral latitudes has been applied to mapping electrostatic potential patterns derived from ion drift and electric field measurements from satellites.
Microsatellites have been used to study genetic diversity in the wild and in hatcheries [19], [21] and the linkage map has been applied to mapping QTL for growth traits [19], [22].
It has been applied to maps measured by simultaneous visual field stimulation and Fourier-based intrinsic imaging of mouse SC (Cang et al., 2008).
The emergence of high-throughput cDNA sequencing (i.e. RNA/NSR-seq) has enabled whole-genome identification of ASE and has been applied to mapping imprinted loci [ 7, 8].
A Scanning-Kelvin-Probe was applied to map the varying activity of the protected and unprotected surface.
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