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Imaging applications bacteria

Imaging/Labeling Applications Bacteria blood smears - casein cells/tissues " ... [Pg.3]

Imaging/Labeling Applications Bacteria cells Biological/Medical Applications Cell viability assay cytotoxicity assay monitoring bacterial transport as a substrate for measuring esterases activity ... [Pg.101]

Imaging/Labeling Applications Bacteria cells 4 cyclodextrin nuclei nucleic acids proteins " 40-i4... [Pg.136]

Imaging/Labeling Applications Bacteria cells hairs hepatocytes malaria infected cells, mitochondria nucleic acids P-glycoprotein " sperms ... [Pg.160]

Another type of classification is outlier selection or contamination identification. As an example, in Fig. 4.23(b), the butter is the desired material and bacteria the contamination. An arbitrary threshold for this image would be 0.02, in which all pixels >0.02 are considered suspect, and hopefully, because this is a food product, decontamination procedures are pursued. In these two examples of classification, only arbitrary thresholds have been defined and, as such, confidence in these classifications is lacking. This confidence can be achieved through statistical methods. Although this chapter is not the appropriate place for an involved discussion of application of statistics toward data analysis, we will give one example often used in chemometric classification. [Pg.108]

Yang, M. M. Youvan, D. C. (1988) Applications of imaging spectroscopy in molecular biology. 1. Screening photosynthetic bacteria. Bio/Technology 6,939-942. [Pg.71]

Nanofibrous mats can also act as ion exchangers [45,46] which have faster kinetics compared to the classical, granular systems. SEM image of pollens of Aesculus hippocas-tanum filtered by electrospun media can be seen in Figure 10.3. It is worth mentioning that nanofibers have approximately two orders of magnitude lower p>ore size than the size of the pollens, therefore even smaller items can be filtered such as bacteria, which points to the biomedical applications of electrospun nanofibers. [Pg.304]

Identification of marine zooplankton using image processing was one of the earliest ATT applications (Katsinis et al., 1984). Bacteria have also been the object of ATI research (Blackburn et al., 1998 Dorge et al., 2000 Walker and Kumagai, 2000 Foreroa et al., 2004). [Pg.92]

Figure 21.12 SEM images visualizing the bacteria Acetobacter Iinum found in different regions of the bacterial cellulose tube, (a) The luminal surface with a great number of bacteria closely packed together, (b) Groups of bacteria close to the silicone support, (c] Bacteria in the looser network. Reprinted from Backdahl, H., Risberg, B., Gatenholm, R, Observations on bacterial cellulose tube formation for application as vascular graft. Mater. Set Eng. C, 31,14-21. Copyright (2011) with permission of Elsevier [27]. Figure 21.12 SEM images visualizing the bacteria Acetobacter Iinum found in different regions of the bacterial cellulose tube, (a) The luminal surface with a great number of bacteria closely packed together, (b) Groups of bacteria close to the silicone support, (c] Bacteria in the looser network. Reprinted from Backdahl, H., Risberg, B., Gatenholm, R, Observations on bacterial cellulose tube formation for application as vascular graft. Mater. Set Eng. C, 31,14-21. Copyright (2011) with permission of Elsevier [27].

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