Quantitative retardance imaging by means of quadri-wave lateral shearing interferometry for label-free fiber imaging in tissues

Aknoun, Shérazade; Aurrand-Lions, Michel; Wattellier, Benoît; Monneret, Serge

doi:10.1016/j.optcom.2018.02.061

Cited by 13 publications

(11 citation statements)

References 53 publications

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“…Various methods have demonstrated that the retardance and orientation information channels, especially for biological samples, provide some of the most useful spatial features corresponding to birefringent specimen. − Because of the reduction of the number of unknown parameters, these methods usually have simpler optical designs compared to, for example, PHM. Among these, a technique known as single-shot computational polarized light microscopy (SCPLM) that uses a pixel-wise polarized image sensor with four polarization directions has been demonstrated to simplify the optical system required to image birefringent samples.…”

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confidence: 99%

Deep Learning-Based Holographic Polarization Microscopy

et al. 2020

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Polarized light microscopy provides high contrast to birefringent specimen and is widely used as a diagnostic tool in pathology. However, polarization microscopy systems typically operate by analyzing images collected from two or more light paths in different states of polarization, which lead to relatively complex optical designs, high system costs, or experienced technicians being required. Here, we present a deep learning-based holographic polarization microscope that is capable of obtaining quantitative birefringence retardance and orientation information of specimen from a phase-recovered hologram, while only requiring the addition of one polarizer/analyzer pair to an inline lensfree holographic imaging system. Using a deep neural network, the reconstructed holographic images from a single state of polarization can be transformed into images equivalent to those captured using a single-shot computational polarized light microscope (SCPLM). Our analysis shows that a trained deep neural network can extract the birefringence information using both the sample specific morphological features as well as the holographic amplitude and phase distribution. To demonstrate the efficacy of this method, we tested it by imaging various birefringent samples including, for example, monosodium urate and triamcinolone acetonide crystals. Our method achieves similar results to SCPLM both qualitatively and quantitatively, and due to its simpler optical design and significantly larger field-of-view this method has the potential to expand the access to polarization microscopy and its use for medical diagnosis in resource limited settings.

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confidence: 99%

Deep Learning-Based Holographic Polarization Microscopy

et al. 2020

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“…Some features clear for the 130-deg phase map are hardly seen for the 0-deg phase map, which confirms the PS behavior of the glioblastoma cells. To obtain the retardance map 24 [e.g.,

where

and

are the refractive indexes of the extraordinary and ordinary waves, and

is the thickness of the cells], we obtain the maximum and minimum values of the whole set reconstructed phase image at each pixel. Example phase maps for the extraordinary (e.g., maximum) and the ordinary (e.g., minimum) behavior are displayed in Fig 5(c) .…”

Section: Polarization-sensitive Digital Holographic Microscopy Using mentioning

confidence: 99%

“…Ultimately, PS imaging systems are advantageous in biological imaging increasing the understanding of cell biological processes 21 – 24 since they determine the isotropic properties of different cellular and extracellular molecular components, such as microtubules and amyloid. 21 …”

Section: Introductionmentioning

confidence: 99%

Advantages of Fresnel biprism-based digital holographic microscopy in quantitative phase imaging

et al. 2020

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Significance: The hallmarks of digital holographic microscopy (DHM) compared with other quantitative phase imaging (QPI) methods are high speed, accuracy, spatial resolution, temporal stability, and polarization-sensitivity (PS) capability. The above features make DHM suitable for real-time quantitative PS phase imaging in a broad number of biological applications aimed at understanding cell growth and dynamic changes occurring during physiological processes and/or in response to pharmaceutical agents. Aim: The insertion of a Fresnel biprism (FB) in the image space of a light microscope potentially turns any commercial system into a DHM system enabling QPI with the five desired features in QPI simultaneously: high temporal sensitivity, high speed, high accuracy, high spatial resolution, and PS. To the best of our knowledge, this is the first FB-based DHM system providing these five features all together. Approach: The performance of the proposed system was calibrated with a benchmark phase object. The PS capability has been verified by imaging human U87 glioblastoma cells. Results: The proposed FB-based DHM system provides accurate phase images with high spatial resolution. The temporal stability of our system is in the order of a few nanometers, enabling live-cell studies. Finally, the distinctive behavior of the cells at different polarization angles (e.g., PS capability) can be observed with our system. Conclusions: We have presented a method to turn any commercial light microscope with monochromatic illumination into a PS QPI system. The proposed system provides accurate quantitative PS phase images in a new, simple, compact, and cost-effective format, thanks to the low cost (a few hundred dollars) involved in implementing this simple architecture, enabling the use of this QPI technique accessible to most laboratories with standard light microscopes.

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“…RM and holographic imaging (HI) have already seen successfully applied for the label-free characterization of biological samples 25 – 27 , including the assessment of sperm cell physiology and morphology 28 – 30 . Indeed, HI, by analyzing the interference of the light passing through the object with the reference beam, was used to study cell and tissue imaging 31 , sperm cell morphology and volume 21 – 23 , including detection and measurements of sperm cell defects (such as the presence of vacuole) and motility 32 , 33 . Additionally, PSDHI based on the analysis of both amplitude and phase of the diffracted beam by means of two orthogonally polarized reference waves 34 , 35 , provides, together with the morphology and dynamics, intrinsic information about the polarization state of the sample through the phase change quantification.…”

Section: Introductionmentioning

confidence: 99%

Combined Raman and polarization sensitive holographic imaging for a multimodal label-free assessment of human sperm function

Angelis

Ferrara

Coppola³

et al. 2019

Sci Rep

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Raman microspectroscopy (RM) and polarization sensitive digital holographic imaging (PSDHI) are valuable analytical tools in biological and medical research, allowing the detection of both biochemical and morphological variations of the sample without labels or long sample preparation. Here, using this multi-modal approach we analyze in vitro human sperm capacitation and the acrosome reaction induced by heparin. The multimodal microscopy provides morphofunctional information that can assess the sperms ability to respond to capacitation stimuli (sperm function). More precisely, the birefringence analysis in sperm cells can be used as an indicator of its structural normality. Indeed, digital holography applied for polarization imaging allows for revelation of the polarization state of the sample, showing a total birefringence of the sperm head in non-reacted spermatozoa, and a birefringence localized in the post-acrosomal region in reacted spermatozoa. Additionally, RM allows the detection and spectroscopic characterization of protein/lipid delocalization in the plasma and acrosomal membranes that can be used as valuable Raman biomarkers of sperm function. Interestingly, these spectral variations can be correlated with different time phases of the cell capacitation response. Although further experimentation is required, the proposed multimodal approach could represent a potential label-free diagnostic tool for use in reproductive medicine and the diagnosis of infertility.

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Quantitative retardance imaging by means of quadri-wave lateral shearing interferometry for label-free fiber imaging in tissues

Cited by 13 publications

References 53 publications

Deep Learning-Based Holographic Polarization Microscopy

Deep Learning-Based Holographic Polarization Microscopy

Advantages of Fresnel biprism-based digital holographic microscopy in quantitative phase imaging

Combined Raman and polarization sensitive holographic imaging for a multimodal label-free assessment of human sperm function

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