Diatom Morphogenesis. Группа авторов

Чтение книги онлайн.

Читать онлайн книгу Diatom Morphogenesis - Группа авторов страница 26

Diatom Morphogenesis - Группа авторов

Скачать книгу

partitioned on the function and given as a maximum entropy probability distribution as image [2.65]. With constraint image, maximum entropy with respect to Lyapunov exponents is image [2.65, 2.67]. Over a probability distribution, image, where image is a positive Lyapunov exponent.

      The sum of the positive Lyapunov exponents is a maximization of the possible states of KS entropy, and as such, KS entropy indicates degree of randomness [2.26].

      The Lyapunov exponents for KS entropy of a sequence L(t) as a random function over a probability distribution for the αth probability [2.74] are image, where DKS entropy is the density matrix of first partial derivatives from KS entropy where the diagonal elements are probability values and tis the time step ofL. Usingimage from Boltzmann entropy, Lyapunov exponents from KS entropy become image and from Pesin’s identity [2.110], image. When SK-S = 0, the rate of prior information loss is equal to the rate of new information created, and stability is evident [2.35]. As A imageimage and is no longer a constant when changes in initial conditions approach zero, image and randomness occurs [2.35]. For a measure of randomness, image , and image.

      2.3.1 Symmetry Analysis

      For each image, final entropy (hereafter simply called “entropy”) values were plotted against the number of rotations, resulting in R2 = 0.0063, which indicates that number of rotations was not correlated to entropy values (Figure 2.7). Each entropy value was converted to symmetry using the equation for Boltzmann entropy. Entropy vs. symmetry was plotted for each image, and the result was a negative exponential relation between the two variables. An example is plotted for image ProvBay5_12lx450, Arachnoidiscus ehrenbergii and depicted in Figure 2.8. Measurement error was calculated as 0.000153 with 0.1068% bias.

      The optimum number of rotations that gives the minimum entropy value was tested for those taxa with valve face features that were not easily divisible into equally spaced partitions. Image SClemtbx1800, Cyclotella meneghiniana, was tested with 3, 4, 5, 7, 13, 14, 15, 17, 18, 24, 27, 31, and 64 rotations, where 64 represents the actual number of marginal chambered striae in the image. Entropy values were plotted against number of rotations, and from a least-squares regression, no trend was discernable between the minimum entropy value and number of rotations (Figure 2.9). That is, an increasingly larger number of rotations used did not correlate to any improvement in obtaining a minimum entropy value (R2 = 0.1097). Fourteen rotations were used for taxa lacking distinguishing valve face features.

      For all image entropies, a histogram and PDF was constructed and depicted a Gaussian distribution (Figure 2.10). The distribution has a slightly long left tail and is therefore slightly positively skewed. A CDF of all entropies was also constructed (Figure 2.11).

      Average symmetry was determined and plotted for each taxon (Figure 2.12). A least-squares regression was performed that resulted in a best-fit curve of wtaxon = 0.9051 S + 15.654, and the coefficient of determination was 0.9474. Average taxon symmetry was determined and plotted for all external valves (Figure 2.13). A least-squares regression was performed that resulted in a best-fit curve of wtaxon = 0.9457S + 15.473, and the coefficient of determination was 0.9451. External and forming valve average symmetries were compared for ten taxa. From the bar graph, Asteromphalus heptactis, Asteromphalus imbricatus, Asteromphalus shadboltianus, Asteromphalus vanheurckii, Asterolampra marylandica, Cyclotella meneghiniana, and Glyphodiscus stellatus had higher external valve symmetry than forming valve symmetry (Figure 2.14). Triceratium favus and Triceratium pentacrinus fo. quadrata had higher forming valve symmetry than external valve symmetry. Arachnoidiscus ehrenbergii had approximately equal forming and external symmetry (Figure 2.14).

      Arachnoidiscus and Aulacodiscus with symmetric valve surfaces were compared to Asteromphalus with asymmetric valve surfaces using least-squares regression (Figure 2.15). Best-fit curves for species, x, were wtaxon = 1.1878x + 27.27, wtaxon = 1.276x + 30.67, and wtaxon = 2.2925x + 23.238 for Asteromphalus, Arachnoidiscus, and Aulacodiscus, respectively. Coefficients of determination were 0.7622 for Asteromphalus and 0.9645 for Arachnoidiscus, and Aulacodiscus.

      A number of analyses were conducted to illustrate symmetry differences in different valves of Cyclotella meneghiniana. Normal and abnormal Cyclotella meneghiniana valve symmetries were compared using least-squares regression (Figure 2.16). Slope for normal valves was 1.345 compared to a slope of 1.008 for abnormal valves. Coefficients of determination were 0.9737 and 0.9284 for normal and abnormal valves, respectively. Masked images of Cyclotella meneghiniana initial valves were measured for symmetry and compared to normal vegetative valve symmetry. Average initial valve symmetry had much higher symmetry than normal external and forming vegetative valves (Figure 2.17). Different valve surface morphologies revealed differences in symmetry that were discernable via analysis using entropy.

      Figure 2.6 ProvBay5_12lx450, Arachnoidiscus ehrenbergii. (a) Original scanning electron micrograph image; (b) Entropy filtering applied to image; (c) Vectors showing gradient changes in magnitude and direction; (d) Tilt-corrected image. Original SEM by Mary Ann Tiffany.

Schematic illustration of tilt-corrected final entropy vs. number of rotations for all images, omitting 64 rotations used for Cyclotella meneghiniana.

      Figure 2.7 Tilt-corrected final entropy vs. number of rotations for all images, omitting 64 rotations used for Cyclotella meneghiniana.

      Measurement error for image matching rotation and overlaying was not a factor

Скачать книгу