Optical microscope tomography I Support constraint

Kawata, Satoshi; Nakamura, Osamu; Minami, Shigeo

doi:10.1364/josaa.4.000292

Cited by 54 publications

(45 citation statements)

References 19 publications

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“…In order to even further improve the resolution of the images, a priori informations about the observed object can be used for the reconstruction [16,17]. Also, non-linear reconstruction methods can improve the quality of the images.…”

Section: Discussionmentioning

confidence: 99%

Holographic microscopy and diffractive microtomography of transparent samples

Debailleul¹,

Simon²,

Georges³

et al. 2008

Meas. Sci. Technol.

134

125

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Abstract. We present an optical tomographic diffractive microscope, a device able to image a complex refractive index distribution in three dimensions. Theoretical foundations are first recalled: diffraction under the first Born approximation explains the link between diffracted beam, object frequencies and physical properties of the object. We then describe our experimental setup, recording 2-D interferograms in the image space, and detail the image reconstruction process underlying our tomographic microscope, which involves 2-D transforms of the recorded interferograms, a peculiar 3-D mapping of the data, and a final 3-D Fourier reconstruction. We apply tomographic reconstruction to diatom skeletons, unicellular algae with cell walls made of silica, and compare it to holographic reconstruction. We further apply it to pollen grains and show differences between the real and imaginary parts of the measured complex refractive index. Finally, we also recall alternative tomographic methods.

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Section: Discussionmentioning

confidence: 99%

Holographic microscopy and diffractive microtomography of transparent samples

Debailleul¹,

Simon²,

Georges³

et al. 2008

Meas. Sci. Technol.

134

125

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“…Three-dimensional observation of weakly diffractive samples have, so far, been realized by varying the sample illumination with a fixed sample [3][4][5][6][7] or by rotating the sample using a fixed illumination [8][9][10][11][12]. In the sample illumination variation method, tomography is realized by varying the sample illumination angle in a range limited by the illumination system (usually a condenser) numerical aperture, drastically increasing the object spatial frequencies captured by this system in comparison to a conventional holographic transmission microscope, which uses only one direction of illumination.…”

Section: Introductionmentioning

confidence: 99%

Diffraction microtomography with sample rotation: influence of a missing apple core in the recorded frequency space

Vertu¹,

Delaunay²,

Yamada³

et al. 2009

Open Physics

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Abstract:Diffraction microtomography in coherent light is foreseen as a promising technique to image transparent living samples in three dimensions without staining. Contrary to conventional microscopy with incoherent light, which gives morphological information only, diffraction microtomography makes it possible to obtain the complex optical refractive index of the observed sample by mapping a three-dimensional support in the spatial frequency domain. The technique can be implemented in two configurations, namely, by varying the sample illumination with a fixed sample or by rotating the sample using a fixed illumination. In the literature, only the former method was described in detail. In this report, we precisely derive the three-dimensional frequency support that can be mapped by the sample rotation configuration. We found that, within the first-order Born approximation, the volume of the frequency domain that can be mapped exhibits a missing part, the shape of which resembles that of an apple core. The projection of the diffracted waves in the frequency space onto the set of sphere caps covered by the sample rotation does not allow for a complete mapping of the frequency along the axis of rotation due to the finite radius of the sphere caps. We present simulations of the effects of this missing information on the reconstruction of ideal objects. ; 42.30.-d; 42.40.-i; 42.90.+m PACS (2008): 42.

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“…Depth discrimination of three-dimensional (3D) biological samples has been performed by computer deconvolution techniques (1,7). The strategy of these techniques is to exclude the out-of-focus data from the original observations by applying an inverse filter of the 3D optical transfer function of the optical system.…”

mentioning

confidence: 99%