Multispectral image analysis

Mehl, P. M. Chao, K Kim, M Chen, Y. R. (2002). Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis. Applied Engineering in Agriculture Vol.18, N.2, pp. 219-226... 

IR spectroscopy is a fast, simple, and cheap method for the qualitative detection of certain functional groups on insoluble supports [77-79]. Dried supports can be used directly to prepare KBr pellets for standard recording of IR spectra [54,80-82], Newer IR-based techniques, which require much less support material than required for a KBr pellet, include single-bead FT-IR spectroscopy [16,77,83-86], single-bead Raman spectroscopy [87], near-IR multispectral imaging [88], and the simultaneous analysis of several different beads by FT-IR microscopy for analysis of combinatorial libraries [89,90],... 

Slavik J (1998) Single and multispectral parameter fluorescence microscopy. In Wilkinson MHF, Schut F (eds) Digital Image Analysis of Microbes. Wiley, New York,... 

Rigacci, L., Alterini, R., Bernabei, P.A., Ferrini, P.R., Agati, G., Fusi, F. and Monici, M. (2000) Multispectral imaging autofluorescence microscopy for the analysis oflymph-node tissues. Photochem. Photobiol, 71, 737-742. 

Figure 8.11 A multispectral wood image, (a) Pseudocolor image (b) Score plot (c) Multivariate image analysis (MIA) combined score image (d) Feedback Multivariate Model Selection (FEMOS) nine-class segmented image. Illustration reproduced from Ref [53].

Figure 2. Grouping of proteins into color classes by multi-spectral image analysis. A liver extract was made in iso-urea sample buffer (20) and serial dilutions made from 1/16 to 1/1024. Gels were run on each sample dilution and the linear range was separately determined for blue, brown, red and yellow spots (see Figure 3). Spots from each color class were selected from the linear range and the intensity level from blue, green and red channels of a multispectral scan were used to calculate ratios as previously described...

Figure 13.6 (a—e) Multispectral images of the TRITC-labelled membrane scaffolds after sub-dermal implantation in MFl mice acquired at 0, 4, 7, 10, and 14 days post-implantation, respectively, (f) Intensity analysis showed that both membranes went through a sharp decrease in the core intensity from days 0—4, then a more gradual decrease until day 14 (Adapted from Cunha-Reis et al., 2013). 

Multispectral imaging with a CCD camera was used to determine firmness (r = 0.87 and SEP = 5.8 N) and soluble solids content (SSC) (r = 0.77 and SEP = 0.78) of apples. This analysis was done using the 680-1060 nm region, 10-nm band pass, and neural network analysis (30). 

Figure 7.3 A multispectral wood image the model selection (FEMOS) nine-class seg-pseudocolor image (a), score plot (b), multi- mented image (d). (Adapted from with per-variate image analysis (MIA) combined score mission elsevier Ref. [51].) image (c), and the feedback multivariate...

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