Multi Agent Micromanipulation System

In the area of biotechnology, a micromanipulation is widely used for such purposes as operating on genes and transferring biological materials into cells. For the some experiments, such as biochemical experiment, a large number of cells have to be manipulated in a short time. We have developed an automatic micromanipulation system under the stereoscopic microscope. Micromanipulation system carries out various processes, such as detection of the target, the detection of the needle head, and motor control. By sharing these processes with several computers, the micromanipulation can be performed at high speed. As a result, computer cooperation becomes very important. In this paper, we propose a multi agent micromanipulation system. At first, we developed a multi agent system, which performs image processing, motor control, and management of the micromanipulation processes. Secondarily, we proposed to operate computers cooperative. We use a computer as a single agent. And several computers are connected to a local area network. The multi agent micromanipulation system performed the micromanipulation at a realistic rate through cooperation of multi agents.</p

Intelligent Design Support System for Japanese Kimono

A yukata is a type of traditional Japanese clothing. The designers have difficulty in drawing its cutting pattern with texture alignment. In this paper, we describe a CAD system for the yukata. First, we developed image processing algorithms for achieving the texture alignment. Second, we developed a measurement system for the wearer's body shape. Third, a three-dimensional garment simulation was achieved. By using this system, designers easily tailor the yukata regardless of their skill </p

Study of micromanipulation using stereoscopic microscope

In this paper, we describe a visual feedback system using a stereoscopic microscope that controls a micromanipulator so that a needle may pierce a target as much length as desired. At first, for achieving the manipulation at a realistic rate, we proposed a strategy of moving the needle head. Secondarily, we developed an algorithm for prediction of the tip position of the needle head within the target. Before the needle pierces the target, the shape of the needle head is preserved as a reference pattern. After the needle piercing the target, the shape of the needle head within the target is predicted using the reference pattern and the tip position of the needle head can be detected. Experimental results indicate that the proposed system may be useful in micromanipulation such as microinjection to seeds </p

Micromanipulation using Stereoscopic Microscope

this paper, we developed a visual feedback system that controls a micromanipulator so that a needle head may reach a target. The system consists of a stereoscopic microscope, a micromanipulator, two CCD cameras and a personal computer, The positions of the target and the needle head under stereoscopic microscope are measured three dimensionally by using two CCD cameras which are set to eyepieces of the microscope. In order that the micromanipulation can be carried out at a realistic rate, it is necessary that the image processing is employed be fast. The image processing time for detecting the target and the needle head is greatly reduced by using image data compression.</p

CAD System for Japanese Kimono

A yukata is the same shape regardless of the wearer's height or weight. An arrangement of its texture pattern becomes an important factor for designing the yukata. It is desirable to draw the cutting pattern so that the yukata is set up for the wearer. Because drawing the cutting pattern requires great skill, it causes difficulties for beginners. In this paper, the authors propose a CAD system that support designers for drawing cutting patterns: (1) by using this CAD system, beginners can draw cutting patterns of yukatas which are in harmony with the wearer's personality; (2) by the texture analysis of the striped pattern and the stencil pattern, the cutting pattern is drawn semi-automatically </p

Micromanipulation with Stereoscopic Imaging

The neuronal organization of the hippocampus is extensively studied. However, the synoptic connections between neurons of the hilus and neurons of the granule cell layer are still debate. In the present study, we utilized automated micromanipulation technique combined with visual image processing to analyze the synaptic connections between hilar mossy cells or mossy fibers, and granule cells or basket cells in the granule cell layer. The stereoscopic microscope image of the dentate gyms of coronal slice in adult rat brain was converted into a binary image. The area of the dentate gyms is detected by genetic algorithms. This was matched with the template image made from a microscopic photo of cresyl violet-stained coronal section of the rat brain by parallel and rotation matching. A glass microelectrode inserted into the apex of the dentate gyrus by the micromanipulation system. Lipophilic fluorescent tracer DiI or DiD was injected into the hilus by a nanoinjector. </p

Automatic Micromanipulation System using Stereoscopic Microscope

In this paper, we developed a visual feedback system that controls a micromanipulator so that a needle head may reach a target. The system consists of a stereoscopic microscope, a micromanipulator, two CCD cameras and a personal computer. The position of the target and the needle head under stereoscopic microscope are measured three dimensionally by using two CCD cameras which are set to eyepieces of the microscope. It is necessary that the image processing employed be fast so that the micromanipulation can be carried out at a realistic rate. The image processing time for detecting the target and the needle head is greatly reduced by using image compression </p

A visual feedback system for micromanipulation with stereoscopic microscope

A stereoscopic microscope is widely used in a micromanipulation such as to operate genes and to inspect integration circuits. As in these tasks the micromanipulation is handled and makes too heavy burden to operators, it is desirable to perform the micromanipulation automatically. In this paper, we propose a visual feedback system for micromanipulation with stereoscopic microscope. This system takes less time to control the manipulator by reducing searching area to detect an object </p