We demonstrate a label-free, scan-free intensity diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume three-dimensional (3-D) refractive index distributions
On the other hand, quantitative phase imaging is capable to image cells in 3D in real time through phase calculation. However, its resolution is limited by the optical diffraction and cannot observe intercellular changes below 200 nanometers.
In this work, fluorescence imaging and quantitative phase imaging are combined to build a multimodal imaging system. Such system has the capability to simultaneously observe the detailed intercellular phenomenon and 3D cell morphology. In this study the proposed multimodal imaging system is used to observe the cell behavior in the cell apoptosis. The aim is to highlight the limitations of fluorescence microscopy and to point out the advantages of multimodal quantitative phase and fluorescence imaging. The proposed multimodal quantitative phase imaging could be further applied in cell related biomedical research, such as tumor.
We use Visual Studio 2010 to build this software, which is based on MFC multi-documents and multi-threads. The main process of designing this software is as follow: 1) Firstly, build the main frame of the software. It is easy to realize the basic interface of Windows style by programming with MFC. The most important thing in this module is adding algorithms and the functions of tool buttons to the program. 2) Secondly, implement functionality of each sub module. In this software, sub modules mainly mean sub windows. In order to have the unity of style, all sub windows use the similar toolbar. Specially, if one sub window have its own functionality, we will add button alone. 3) Thirdly, pass messages among modules. Passing messages among modules is significant in this software. The news in main program must be transmitted to the relevant sub window. The operation information in any sub windows must be transmitted to the main program, or transmitted to other sub windows. In order to make the program more efficient, we utilize multi-thread programming. With a digital holographic microscope, our software has many useful features, such as capturing the hologram of a sample (Holo View), displaying its Fourier spectrum (Fourier View), unwrapping phase map (Phase View), digital refocusing intensity information (Intensity View), drawing 2D line across the sample (2D View) and displaying three-dimensional images (Plot View). The experimental results demonstrate that a digital holographic microscope could be used much easier with the help of our software.
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