Reconstruction of high-resolution holographic microscopic images

Abstract

In in-line holographic microscopy a pinhole illuminates an object and a CCD-detector directly records the hologram in a pixel-pitch-dependent distance. A rapidly calculating exact reconstruction technique using a reorganized hologram with a low number of pixels, the tile superposition technique, is presented. The algorithm is applied on imaging of a 2 microm bead cluster, and it is compared with other reconstruction techniques. The high-contrast image corresponds to an NA of 0.7. A full 4 megapixel reconstruction with a resolution approaching the diffraction limit is possible in less than a minute. The technique is a base for high-resolution wide-field imaging by multispot illumination.

Deconvolution for digital in-line holographic microscopy

“…Unfortunately, to keep the digitized form of (5), a convolution one needs to make the identification b = a, thus, eliminating the opportunity to obtain a magnified image of the object or to use point source DIHM as a viable microscopic technique. To overcome this impasse, several strategies have been explored, most recently, the methods by Kanka et al [10]. An older, faster, and more efficient procedure is to simplify the diffraction integral, itself [8].…”

Quantitative phase and refractive index measurements with point-source digital in-line holographic microscopy

“…Point-source digital in-line holographic microscopy (PSDIHM) is capable of generating intensity and amplitude images of objects with submicrometer resolution [1][2][3][4][5][6]. The hologram reconstruction transforms, however, also give access to phase information and images of the spatial variations of phase shifts of the wave fronts in the optic field are easily created.…”

On-chip cell analysis platform: Implementation of contact fluorescence microscopy in microfluidic chips

“…Although novel image reconstruction algorithms with specific optical designs have previously been well investigated for contact bright field imaging, these techniques would not be applicable to contact fluorescence imaging due to incoherence of fluorescence emission. [24][25][26][27] Recently, image reconstruction techniques in contact fluorescence imaging have been investigated using compressive decoding of sparse objects. 28 This image reconstruction technique is considered to be feasible in microfluidic chip platforms.…”