Quantitative phase microscopy monitors subcellular dynamics in single cells exposed to nanosecond pulsed electric fields

A substantial body of literature exists to study the dynamics of single cells exposed to short duration (<1 μs), high peak power (~1 MV/m) transient electric fields. Much of this research is limited to traditional fluorescence-based microscopy techniques, which introduce exogenous agents to the culture and are only sensitive to a single molecular target. Quantitative phase imaging (QPI) is a coherent imaging modality which uses optical path length as a label-free contrast mechanism, and has proven highly effective for the study of single-cell dynamics. In this work, we introduce QPI as a useful imaging tool for the study of cells undergoing cytoskeletal remodeling after nanosecond pulsed electric field (nsPEF) exposure. In particular, we use cell swelling, dry mass and disorder strength measurements derived from QPI phase images to monitor the cellular response to nsPEFs. We hope this demonstration of QPI's utility will lead to a further adoption of the technique for the study of directed energy bioeffects.     

Multi‐ATOM: Ultrahigh‐throughput single‐cell quantitative phase imaging with subcellular resolution

A growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost‐effective and label‐free cellular assays, which provides useful insights into understanding the biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single‐cell precision to define cell identities in a large and heterogeneous population of cells—hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multiplexed asymmetric‐detection time‐stretch optical microscopy (multi‐ATOM) that captures and processes quantitative label‐free single‐cell images at ultrahigh throughput without compromising subcellular resolution. We show that multi‐ATOM, based upon ultrafast phase‐gradient encoding, outperforms state‐of‐the‐art QPI in permitting robust phase retrieval at a QPI throughput of >10 000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi‐ATOM for large‐scale, label‐free, multivariate, cell‐type classification (e.g. breast cancer subtypes, and leukemic cells vs peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi‐ATOM could empower new strategies in large‐scale biophysical single‐cell analysis with applications in biology and enriching disease diagnostics.      

Classification of pathogenic bacteria by Raman spectroscopy combined with variational auto-encoder and deep learning

Rapid and early identification of pathogens is critical to guide antibiotic therapy. Raman spectroscopy as a noninvasive diagnostic technique provides rapid and accurate detection of pathogens. Raman spectrum of single cells serves as the “fingerprint” of the cell, revealing its metabolic characteristics. Rapid identification of pathogens can be achieved by combining Raman spectroscopy and deep learning. Traditional classification techniques frequently require lots of data for training, which is time costing to collect Raman spectra. For trace samples and strains that are difficult to culture, it is difficult to provide an accurate classification model. In order to reduce the number of samples collected and improve the accuracy of the classification model, a new pathogen detection method integrating Raman spectroscopy, variational auto-encoder (VAE), and long short-term memory network (LSTM) is proposed in this paper. We collect the Raman signals of pathogens and input them to VAE for training. VAE will generate a large number of Raman spectral data that cannot be distinguished from the real spectrum, and the signal-to-noise ratio is higher than that of the real spectrum. These spectra are input into the LSTM together with the real spectrum for training, and a good classification model is obtained. The results of the experiments reveal that this method not only improves the average accuracy of pathogen classification to 96.9% but also reduces the number of Raman spectra collected from 1000 to 200. With this technology, the number of Raman spectra collected can be greatly reduced, so that strains that are difficult to culture or trace can be rapidly identified.     

Deep learning‐based color holographic microscopy

We report a framework based on a generative adversarial network that performs high‐fidelity color image reconstruction using a single hologram of a sample that is illuminated simultaneously by light at three different wavelengths. The trained network learns to eliminate missing‐phase‐related artifacts, and generates an accurate color transformation for the reconstructed image. Our framework is experimentally demonstrated using lung and prostate tissue sections that are labeled with different histological stains. This framework is envisaged to be applicable to point‐of‐care histopathology and presents a significant improvement in the throughput of coherent microscopy systems given that only a single hologram of the specimen is required for accurate color imaging.     

Quantitative phase imaging for medical diagnosis

Optical microscopy is an indispensable diagnostic tool in modern healthcare. As a prime example, pathologists rely exclusively on light microscopy to investigate tissue morphology in order to make a diagnosis. While advances in light microscopy and contrast markers allow pathologists to visualize cells and tissues in unprecedented detail, the interpretation of these images remains largely subjective, leading to inter‐ and intra‐observer discrepancy. Furthermore, conventional microscopy images capture qualitative information which makes it difficult to automate the process, reducing the throughput achievable in the diagnostic workflow. Quantitative Phase Imaging (QPI) techniques have been advanced in recent years to address these two challenges. By quantifying physical parameters of cells and tissues, these systems remove subjectivity from the disease diagnosis process and allow for easier automation to increase throughput. In addition to providing quantitative information, QPI systems are also label‐free and can be easily assimilated into the current diagnostic workflow in the clinic. In this paper we review the advances made in disease diagnosis by QPI techniques. We focus on the areas of hematological diagnosis and cancer pathology, which are the areas where most significant advances have been made to date.

[Image adapted from Y. Park, M. Diez‐Silva, G. Popescu, G. Lykotrafitis, W. Choi, M. S. Feld, and S. Suresh, Proc. Natl. Acad. Sci. 105, 13730–13735 (2008).]     

Single-shot phase contrast microscopy using polarisation-resolved differential phase contrast

We present a robust, low-cost single-shot implementation of differential phase microscopy utilising a polarisation-sensitive camera to simultaneously acquire four images from which phase contrast images can be calculated. This polarisation-resolved differential phase contrast (pDPC) microscopy technique can be easily integrated with fluorescence microscopy.     

Phase Resetting of the Human Circadian Pacemaker with Use of a Single Pulse of Bright Light

Since the initial studies reporting that light can alter the phase position of the human circadian system, there has been increasing interest in the use of bright light as a tool for manipulating the phase position of the circadian pacemaker. Exposure protocols typically require subjects to receive 2–5 h of exposure over several circadian cycles. As a consequence, bright light treatment can involve a considerable time investment. However, recent studies indicate that a single pulse of bright light can produce significant phase shifts in the circadian pacemaker. If a single pulse of bright light can produce significant phase-shifting effects, multiple-pulse designs may be unnecessary. This study examined the phase-shifting effects of a single 4-h pulse of bright light (12,000 lux) in 14 male and one female subject aged between 19–45 years. With use of a “constant routine” to estimate circadian phase, a single 4-h pulse of light produced significant shifts in the phase of the core temperature rhythm. The timing of the exposure, relative to the core temperature rhythm, determined the degree and direction of the phase shift. Exposure immediately prior to habitual bedtime produced a mean phase delay in the core temperature of 2.39 h (SD = 1.37 h). In contrast, exposure immediately following habitual wake-up produced a mean phase advance of 1.49 h (SD = 2.06 h). In addition, the magnitude of the shift increased the closer the light pulse was to the individual's estimated endogenous core temperature minimum. There was, however, considerable interindividual variability in this relationship. Overall, these results confirm that a single pulse of bright light can produce significant phase shifts in the phase of the circadian pacemaker controlling core temperature.     

Instant polarized light microscopy for imaging collagen microarchitecture and dynamics

Collagen fibers are a primary load-bearing component of connective tissues and are therefore central to tissue biomechanics and pathophysiology. Understanding collagen architecture and behavior under dynamic loading requires a quantitative imaging technique with simultaneously high spatial and temporal resolutions. Suitable techniques are thus rare and often inaccessible. In this study, we present instant polarized light microscopy (IPOL), in which a single snapshot image encodes information on fiber orientation and retardance, thus fulfilling the requirement. We utilized both simulation and experimental data from collagenous tissues of chicken tendon, sheep eye, and porcine heart to evaluate the effectiveness of IPOL as a quantitative imaging technique. We demonstrate that IPOL allows quantitative characterization of micron-scale collagen fiber architecture at full camera frame rates (156 frames/second herein).     

Optoacoustic monitoring of water content in tissue phantoms and human skin

Skin water content monitoring is important for diagnostics and management of edema, dehydration, and other skin conditions as well as for cosmetic applications. Because optoacoustic (OA) technique has high (optical) contrast and (ultrasound) resolution and significant probing depth, it may be suitable for accurate, noninvasive water content monitoring in the skin. In this work we studied OA response from skin tissue phantoms and human wrist skin in the wavelength range from 1370 nm to 1650 nm using a novel, tunable OPO OA system. We identified optimal wavelengths for OA water content monitoring in different skin layers. The results of our study suggest that the OA technique may become a valuable, quantitative tool for accurate, high-resolution water content monitoring in the skin and other tissues and may find wide applications in dermatology, cosmetology, and tissue trauma management.     

Predicting gastrointestinal infection morbidity based on environmental pollutants: Deep learning versus traditional models

Accurate morbidity prediction can contribute greatly to the efficiency of medical services. Gastrointestinal infectious diseases are largely influenced by environmental pollutants, but predicting their morbidity based on pollution indicators is quite difficult because of the complex relationship between the pollutants and the infections. This study presents a deep neural network (DNN) model for estimating the morbidity of gastrointestinal infections based on 129 types of pollutants contained in soil and water. The DNN uses a deep Boltzmann machine (DBM) to model the unknown probabilistic relationship between the pollutants, and employs a Gaussian mixture model (GMM) to output the estimated morbidity. We also propose an evolutionary algorithm for efficiently training the DNN. Experiment on a data set from four counties in central China shows that the proposed model can estimate the morbidity much more accurately than traditional neural network and linear regression models.     

THE USE OF INTERFERENCE REFLECTION CONTRAST IN THE EXAMINATION OF DIATOM VALVES

Even though scanning electron microscopy (SEM) is now needed to identify some species of diatoms, the majority of identifications and quantification of these organisms in ecological works is accomplished with a light microscope, using transmitted light optical methods. In this paper we demonstrate the use of interference reflection contrast (incident light) for the examination of diatoms, a method that significantly improves the resolution of structural detail, and therefore, identification of diatom taxa with light microscopy. Using incident light we were routinely able to distinguish between structures that were close to the theoretical limit of resolution for visible light, and that were not resolvable with such standard transmitted light techniques as phase contrast and differential interference contrast (DIC). Light microscopes with epi-illumination light paths can be easily and inexpensively outfitted to use this simple technique.
Abbreviations:  DIC, differential interference contrast; IRC, interference reflection contrast; LM, light microscopy     

Snapshot polarized light scattering spectroscopy using spectrally-modulated polarimetry for early gastric cancer detection

Polarized light scattering spectroscopy (PLSS) is a promising optical technique developed for the detection of cancer, which extracts the single scattering light to infer morphological information of epithelial cells. However, traditional PLSS uses either a rotatable polarizer or two orthogonal polarizers to purify the single scattering light, which makes it complicated and challenged to build a PLSS endoscope. Herein, we propose a snapshot PLSS with a single optical path to directly get the single scattering light for the first time. The single scattering light is encoded using the spectrally - modulated polarimetry and decoded using the continuous slide iterative method. Both the polystyrene microsphere solutions and the ex vivo gastric cancer samples are used to verify the method. The experimental results of the snapshot PLSS are consistent well with that of the traditional PLSS. The proposed method has a potential for the building of snapshot PLSS endoscope systems in future.      

Front Cover: Implantable self‐aligning fiber‐optic optomechanical devices for in vivo intraocular pressure‐sensing in artificial cornea

This work addresses an unmet clinical need, that of glaucoma monitoring through intraocular pressure (IOP) interrogation in patients with artificial corneas (keratoprost hesis). We demonstrate direct integration of a low‐drift, fiber‐optic Fabry‐Perot pressure sensor embedded in the keratoprosthesis via rapid, non‐contact micromagnetic fiber alignment. IOP interrogation is achieved by using white‐light interferometry, which provides sub‐mmHg IOP sensitivity. Further details can be found in the article by Pui‐Chuen Hui, Katia Shtyrkova, Chengxin Zhou, et al. ( e202000031 ).

     

Tomographic phase microscopy

We report a technique for quantitative three-dimensional (3D) mapping of refractive index in live cells and tissues using a phase-shifting laser interferometric microscope with variable illumination angle. We demonstrate tomographic imaging of cells and multicellular organisms, and time-dependent changes in cell structure. Our results will permit quantitative characterization of specimen-induced aberrations in high-resolution microscopy and have multiple applications in tissue light scattering.     

Optic methods for measurements of muscle fiber birefringence

An optical method for measuring the birefringence of muscle fibers was developed, which is realized on an automated Linnick interferometer microscope equipped with a laser. It was shown that the method has some advantages over the methods based on measurements of the intensity of light passing through a crossed polarizer, an analyzer, and a fiber (light polarized microscopy). The method involves direct phase measurements of optical path length at the parallel and perpendicular orientations of the polarization plane of probing radiation. The phase image is reconstructed automatically from interferograms with the use of the four-frame phase-shifting algorithm. The phase images of one and the same central part of the fiber at different orientations of the polarization plane represent two-dimensional numerical maps of the optical path length. The subtraction of these images gives a two-dimensional map of the phase shift, which includes information about the birefringence of the fiber. A formula for birefringence measurements was deduced, which has a certain advantage in comparison to that used earlier in that it does not take into account the thickness of a fiber that depends on the measurement point. The birefringence is normalized to a value of the half sum of phases, which are measured separately in the course of the experiment.     

In vivo non-contact measurement of human iris elasticity by optical coherence elastography

Quantifying the mechanical properties of the iris can offer valuable insights into the pathophysiology of primary angle closure glaucoma. However, current techniques for iris elastography remain ex vivo with limited clinical applications. This article describes a proposition for a non-contact and non-invasive air-puff optical coherence elastography (OCE) system that can evaluate iris elasticity in vivo. Ten eyes recruited from seven subjects underwent OCE imaging acquisition under three different illumination conditions. The Young's modulus of each eye was detected and shown to be inversely proportional to the iris length, indicating a relationship between mechanical properties and morphology of the iris. With its noninvasive and high-resolution features, this air-puff system shows great potential for applications in clinical ophthalmology.     

Photoendocrine Transduction in Cultured Chick Pineal Cells: IV. What Do Vitamin A Depletion and Retinaldehyde Addition Do to the Effects of Light on the Melatonin Rhythm?

Abstract: Light has at least two distinguishable effects on the circadian rhythm of melatonin output displayed by dispersed chick pineal cells in static culture: acute suppression of melatonin output and entrainment (phase shifts) of the underlying pacemaker. Previous results indicated that these two effects of light are mediated by different mechanistic pathways. The pathways for the acute and phase-shifting effects of light either branch from the same, single photopigment or differ from the outset, starting from separate photopigments. If a single rhodopsin-like photopigment mediates both effects of light, then vitamin A depletion and retinoid addition should affect both responses in parallel, although not proportionately. We therefore compared the effects of vitamin A depletion and retinoid addition on the acute and phase-shifting effects of light under several experimental conditions. When chick pineal cells were depleted of vitamin A, acute responses to light were markedly reduced. Addition of 11-cis-retinaldehyde specifically restored (and enhanced) the acute response. When allowed to free run in constant red light, depleted cells displayed a rhythm of melatonin output with the same period as that of control cells. In contrast to the acute effects, phase shifts in response to 2- or 4-h light pulses did not differ between depleted and control cells. Addition of retinaldehyde to depleted cells did not, by itself, reduce melatonin output or induce phase shifts. Retinaldehyde did increase the acute response to 4-h light pulses but not the ensuing phase shifts. Responses increased with duration of the light pulse: Both the acute effect and the phase shifts induced by 4-h light pulses were considerably larger than those induced by 2-h (or 1-h) light pulses. Addition of retinaldehyde to depleted cells increased the acute effect of 2-h (or 1-h) light pulses to at least that seen with 4-h light pulses but did not Increase the size of the ensuing phase shifts. These results strongly confirm previous dissociations of the mechanistic pathways mediating the acute and phase-shifting effects of light on chick pineal cells. They also support a role for rhodopsin-like photopigment in the acute, but not phase-shifting, response. They favor, but do not prove, the conclusion that separate photopigments mediate the acute and entraining effects of light.     

High-speed volumetric imaging in vivo based on structured illumination microscopy with interleaved reconstruction

Wide-field fluorescence microscopy (WFFM) is widely adopted in biomedical studies, due to its high imaging speed over large field-of-views. However, WFFM is susceptible to out-of-focus background. To overcome this problem, structured illumination microscopy (SIM) was proposed as a wide-field, optical-sectioning technique, which needs multiple raw images for image reconstruction and thus has a lower imaging speed. Here we propose SIM with interleaved reconstruction, to make SIM of lossless speed. We apply this method in volumetric imaging of neural network dynamics in brains of zebrafish larva in vivo.     

Optical coherence hyperspectral microscopy with a single supercontinuum light source

In the paper, we have developed an optical coherence hyperspectral microscopy with a single supercontinuum light source. The microscopy consists of optical coherence tomography (OCT) and hyperspectral imaging (HSI), which can visualize the structural and functional characteristics of biological tissues. The 500 to 700 nm band is selected for HSI and OCT imaging, where HSI enables imaging of oxygen saturation and hemoglobin (Hb) content, while OCT acquires structural characteristics to assess the morphology of biological tissues. The system performance of the optical coherence hyperspectral microscopy is verified by normal mice ears, and the practical applications of the microscopy is further performed in 4T1 and inflammation Balb/c mice ears in vivo. The experimental results demonstrate that the microscopy has potential to provide complementary information for clinical applications.