Abstract
3-D refractive index (RI) distribution is an intrinsic bio-marker for the chemical and structural information about biological cells. Here we develop an optical diffraction tomography technique for the real-time reconstruction of 3-D RI distribution, employing sparse angle illumination and a graphic processing unit (GPU) implementation. The execution time for the tomographic reconstruction is 0.21 s for 96(3) voxels, which is 17 times faster than that of a conventional approach. We demonstrated the real-time visualization capability with imaging the dynamics of Brownian motion of an anisotropic colloidal dimer and the dynamic shape change in a red blood cell upon shear flow.
Highlights
Introduction3-D live-cell imaging has been an invaluable tool for understanding the mechanisms involved in biological cells and tissues [1]
To systematically compare the difference between tomograms reconstructed from full illumination (500 angles) and sparse angle illumination (10 angles), we calculated the correlation coefficient of two 3-D refractive index (RI) tomograms of a healthy red blood cells (RBCs) reconstructed with the decreased number of illuminations and the full number of illuminations, respectively
RI distribution of slice images in the x-y plane shows that the proposed tomogram using 10 views is comparable to the tomogram obtained with 500 illuminations
Summary
3-D live-cell imaging has been an invaluable tool for understanding the mechanisms involved in biological cells and tissues [1]. The 3-D RI distribution of microscopic particles can be measured by various interferometry microscopy techniques [4, 5], which utilizes a series of images either from various illumination angles [6,7,8,9,10] or axial translation of samples based on the transport-of-intensity [11]. Acquisition of hundreds of images from various illumination angles and tomogram reconstruction based on several Fourier transforms require a large amount of calculation time, which hinders realtime application of optical diffraction tomography. Sparse angle illumination and GPU implementation can reconstruct an optical diffraction tomogram in 0.21 sec for 963 voxels, which is about 17 times faster than the execution time of the conventional method using CPU. The proposed method is exploited for the real-time 3-D visualization of micron-sized objects: Brownian motions of anisotropic colloids and shape change of RBCs under a shear flow
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