Quantitative and Dynamic Phase Imaging of Biological Cells by the Use of the Digital Holographic Microscopy Based on a Beam Displacer Unit

Di, Jianglei; Li, Ying; Wang, Kaiqiang; Zhao, Jianlin

doi:10.1109/jphot.2018.2839878

Cited by 21 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A portion of the observed area of the sample acts as a reference wave, thus just part of the FoV is exploited, making these methods suitable for imaging spatially sparse and bounded samples. Various SDs have been implemented, including a beam splitter with mirrors in Michelson [ 36 , 37 ] or Sagnac [ 38 ] geometry, a thick glass plate [ 39 , 40 , 41 ], a specially oriented beam splitter [ 42 ], a Wollaston prism [ 43 ], a beam displacer [ 44 ], a Rochon polarizer [ 29 ], a Fresnel biprism [ 45 ], and diffraction grating [ 46 ]; here, the critical step was resolved, allowing the shearing distance to be adjusted independently on the interference fringes. Here, we show a comprehensive approach for optimizing various critical issues of a DHT system in combination with a microfluidic cytometer.…”

Section: Introductionmentioning

confidence: 99%

Developing a Reliable Holographic Flow Cyto-Tomography Apparatus by Optimizing the Experimental Layout and Computational Processing

Běhal

Borrelli²,

Mugnano

et al. 2022

Cells

View full text Add to dashboard Cite

Digital Holographic Tomography (DHT) has recently been established as a means of retrieving the 3D refractive index mapping of single cells. To make DHT a viable system, it is necessary to develop a reliable and robust holographic apparatus in order that such technology can be utilized outside of specialized optics laboratories and operated in the in-flow modality. In this paper, we propose a quasi-common-path lateral-shearing holographic optical set-up to be used, for the first time, for DHT in a flow-cytometer modality. The proposed solution is able to withstand environmental vibrations that can severely affect the interference process. Furthermore, we have scaled down the system while ensuring that a full 360° rotation of the cells occurs in the field-of-view, in order to retrieve 3D phase-contrast tomograms of single cells flowing along a microfluidic channel. This was achieved by setting the camera sensor at 45° with respect to the microfluidic direction. Additional optimizations were made to the computational elements to ensure the reliable retrieval of 3D refractive index distributions by demonstrating an effective method of tomographic reconstruction, based on high-order total variation. The results were first demonstrated using realistic 3D numerical phantom cells to assess the performance of the proposed high-order total variation method in comparison with the gold-standard algorithm for tomographic reconstructions: namely, filtered back projection. Then, the proposed DHT system and the processing pipeline were experimentally validated for monocytes and mouse embryonic fibroblast NIH-3T3 cells lines. Moreover, the repeatability of these tomographic measurements was also investigated by recording the same cell multiple times and quantifying the ability to provide reliable and comparable tomographic reconstructions, as confirmed by a correlation coefficient greater than 95%. The reported results represent various steps forward in several key aspects of in-flow DHT, thus paving the way for its use in real-world applications.

show abstract

Section: Introductionmentioning

confidence: 99%

Developing a Reliable Holographic Flow Cyto-Tomography Apparatus by Optimizing the Experimental Layout and Computational Processing

Běhal

Borrelli²,

Mugnano

et al. 2022

Cells

View full text Add to dashboard Cite

show abstract

“…In Ref. 27 , the authors have demonstrated the use of a beam displacer in a combination of polarizers in the path of the input beam to introduce a small displacement in two orthogonal polarized beams with a small displacement. These beams interfere after passing through another polarizer and form interference at the lateral shearing region behind the beam displacer.…”

Section: Introductionmentioning

confidence: 99%

Single-shot off-axis digital holographic system with extended field-of-view by using multiplexing method

Kumar

Pensia

Kumar

2022

Sci Rep

View full text Add to dashboard Cite

We propose a new configuration of single-shot off-axis digital holographic system to realize double the camera field-of-view (FOV) of the existing off-axis Mech-Zehnder type holographic setup. The double FOV is obtained by double spatial frequency multiplexing of two different areas of an object beam by inserting a Fresnel bi-prism in it, which divides the object beam into two, both carrying different object information. The image sensor is placed at the plane where these two different FOVs overlap so as to record simultaneously two parts of the wavefront of the object in a single-shot. The multiplexed hologram is carrying two interferometric images corresponding to two different FOVs of the object which are modulated with two different spatial carrier frequencies. The feasibility of the proposed digital holographic system is experimentally demonstrated by imaging two different areas of a resolution test target. The limitation of the proposed system and a method to overcome it, are also discussed. The proposed system is useful in a wide range of applications including microscopy and optical metrology.

show abstract

“…In our previous work, a common-path digital holographic microscopy based on a beam displacer unit was proposed for quantitative and dynamic phase imaging of biological cells [17]. This implementation reduces the system requirement for the light source coherence, realizes the convenient adjustment of the light beams and achieves an excellent temporal stability.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Phase Imaging Using Deep Learning-Based Holographic Microscope

Wang

et al. 2021

Front. Phys.

Self Cite

View full text Add to dashboard Cite

Digital holographic microscopy enables the measurement of the quantitative light field information and the visualization of transparent specimens. It can be implemented for complex amplitude imaging and thus for the investigation of biological samples including tissues, dry mass, membrane fluctuation, etc. Currently, deep learning technologies are developing rapidly and have already been applied to various important tasks in the coherent imaging. In this paper, an optimized structural convolution neural network PhaseNet is proposed for the reconstruction of digital holograms, and a deep learning-based holographic microscope using above neural network is implemented for quantitative phase imaging. Living mouse osteoblastic cells are quantitatively measured to demonstrate the capability and applicability of the system.

show abstract

Quantitative and Dynamic Phase Imaging of Biological Cells by the Use of the Digital Holographic Microscopy Based on a Beam Displacer Unit

Cited by 21 publications

References 28 publications

Developing a Reliable Holographic Flow Cyto-Tomography Apparatus by Optimizing the Experimental Layout and Computational Processing

Developing a Reliable Holographic Flow Cyto-Tomography Apparatus by Optimizing the Experimental Layout and Computational Processing

Single-shot off-axis digital holographic system with extended field-of-view by using multiplexing method

Quantitative Phase Imaging Using Deep Learning-Based Holographic Microscope

Contact Info

Product

Resources

About