Biological Motion: Proceedings of a Workshop held in by Wolfgang Alt, Gerhard Hoffmann

By Wolfgang Alt, Gerhard Hoffmann

" . . . habit isn't really, what an organism does itself, yet to what we element. accordingly, even if a kind of habit of an organism is sufficient as a definite configuration of activities, is determined by the surroundings during which we de­ scribe it. " (Humberto Maturana, Francisco Varela: El arbol del conocimiento, 1984) "A thorough research of habit needs to lead to a scheme, that exhibits all regularities which are to be stumbled on among the sensorical enter and the motorical output of an animal. This scheme is an summary illustration of the mind. " (Valentin Braitenberg: Gehirngespinste, 1973) in the course of the 70ies, whilst Biomathematics (beyond Biomedical information and Com­ puting) turned extra well known at universities and learn institutes, the issues handled got here regularly from the final fields of 'Population Biology' and 'Complex platforms research' similar to epidemics, ecosystems research, morphogenesis, genetics, immunology and neurology (see the 1st sequence of Springer Lecture Notes in Biomathematics). seeing that then, the image has no longer significantly replaced, and it sounds as if "a thorough research of habit" of unmarried organisms and, in addition, in their mutual interactions, is way from being understood. to the contrary, mathematical modellers and analysts were good­ recommended to limit their investigations to precise features of 'biological behavior', one in all that's 'biological motion'. before, just a couple of convention court cases or Lecture Notes have paid consciousness to this significant element, many of the past examples being Vol. 24: 'The size of organic form and form alterations' (1978) or Vol.

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Extra info for Biological Motion: Proceedings of a Workshop held in Königswinter, Germany, March 16–19, 1989

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Several other morphological features can also be calculated such as the perimeter, minimum containing rectangle, elongation, angle regularity, etc (Levine, Noble, Youssef, 1983). Many of these features are of little value on their own due to their impreciseness in defining a specific shape but collectively can be of value as shape descriptors (Dunn, Brown. this section). The determination of the cell centroid is a useful feature for tracking cells during locomotion and is given by: (4) 1 Xc = - LLxB(x,y), F1 (5) Yc 1 = Fl L LYB(x, y).

The major problem is that the analysis is likely to be based upon a reduced amount of information, since many of the visual cues used by an experienced observer are very difficult to incorporate into an image-processing system. Measures of shape used so far, do not take into account some of the information used in direct visual classification, details of surface morphology. in particular the It is usually possible to determine by direct visual observation whether a narrow protrusion is a lamellipod or a tail, but this may be impossible from an outline drawing of the cell.

The advent of microcomputers and image processing systems has greatly facilitated the study of cell locomotion. This report comments on some of the methods that have been developed to capture and process images of cells in both two and three-dimensional environments and presents ways of quantifying and analysing the locomotory behaviours of cells. 1. Introduction Intuitively, the simplest way of studying cell locomotory behaviour is to use a timelapse recording, either illm or video, of the locomoting cells.

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