We study on the imaging technology of three-dimensional distribution for sugar chain on single living cell-membrane. This technology can observe the entire cell surface. To observe the cell surface, the local area image of cell-membrane is taken by TIRF (total internal reflection fluorescence) microscopy. And by scanning the whole cell surface area, we can obtain the image of the entire cell membrane. These observed local area images can be converted into an entire surface image by the pattern matching processing. For this scanning technology, we propose the proximal two beam optical tweezers to rotate the single floating cell. This proximal two beam optical tweezers can rotate the floating single cell in the nutrient medium by light pressure. Two beams illuminate the single cell at proximal two points from below and above. The cell is trapped at the center of these two focal points. At the same time, light pressures that are generated at two focal points are made to act as rotational torque. Conventionally TIRF microscope is well known as the observation technology for the cell-membrane using the evanescent light as the exciting light. We can observe the local area images of the fluorescently labeled sugar chain that binds the glycoprotein. Using the proposed optical system, we can obtain the fluorescent distribution images on the cell-membrane.
We propose the spectroscopy-tomography of single cells to improve the early detection and treatment of cancer. This technology can obtain the 3-dimensional distribution of components at a high spatial resolution. In this paper, we mention the analysis result of the cross-sectional images of the microsphere whose diameter is 10 μm.
The distribution of the internal submicron-defect in the microsphere can be analyzed. To obtain the correct 3-dimensional absorption distribution, the axial runout can not be allowed. However, the center of rotation is displaced because the cells have complex refractive index distribution. Therefore we propose the image processing that uses the normalized correlation function as estimated value. The cross-sectional image of the microsphere is improved and the vague internal defect becomes to be distinguished by this proposed method. Moreover, based on this method, the 3-dimentional refractive index distribution in a single cell is estimated and the part which has a high refractive index in the cell is distinguished clearly.
And we mention the proposed variable phase-contrast spectrometry as the 2-dimensional high spatial resolution spectrometry. This proposed method is a phase-shift interferometry between the 0th order diffracted light and the higher order diffracted light. We discuss the experimental results of the spectral characteristics using the proposed variable phase-contrast spectrometry. We measured the spectral characteristics at each pixel using the color filter of the liquid crystal and verified that the 2-dimensional spectral characteristics can be measured with good result.
We performed a spectroscopy-tomography study of a single living cell to obtain 3-dimensional distribution of proteins in high spatial resolution in real time. In this report, we mention the 6-DOF manipulation of a single living cell to achieve the high spatial resolution 3-dimentional spectrometry. We propose the proximal two- beam optical tweezers as rotational operation. We decided to illuminate the proximal two points in each from different directions using two beams. In this case, the light pressure generated by light absorption is made to act as rotating torque. Using this proposed method, we can operate the rotational velocity of a microsphere regardless of refractive index distribution by non-contact operation. In addition, rotational speed is controlled by optical PWM operation. This proposed optical PWM operation is that the received light intensity is changed by the illumination time. This method can be developed into the 6-DOF control of single-cell. And we propose the optical spatial filtering method, paying attention to the diffracted light that is generated from a sample, as translational velocity measurement. This measurement derives the arbitrary component of the spatial frequency from the random refracted index distribution as the periodic light intensity distribution. This periodic light intensity distribution changes in accordance with the translation of an object. Therefore, we can obtain the translational velocity of the non- labeled cell by high-response photodiode.