Quantitative phase imaging of cells in a flow cytometry arrangement utilizing Michelson interferometer‐based off‐axis digital holographic microscopy

We combined Michelson‐interferometer‐based off‐axis digital holographic microscopy (DHM) with a common flow cytometry (FCM) arrangement. Utilizing object recognition procedures and holographic autofocusing during the numerical reconstruction of the acquired off‐axis holograms, sharply focused quantitative phase images of suspended cells in flow were retrieved without labeling, from which biophysical cellular features of distinct cells, such as cell radius, refractive index and dry mass, can be subsequently retrieved in an automated manner. The performance of the proposed concept was first characterized by investigations on microspheres that were utilized as test standards. Then, we analyzed two types of pancreatic tumor cells with different morphology to further verify the applicability of the proposed method for quantitative live cell imaging. The retrieved biophysical datasets from cells in flow are found in good agreement with results from comparative investigations with previously developed DHM methods under static conditions, which demonstrates the effectiveness and reliability of our approach. Our results contribute to the establishment of DHM in imaging FCM and prospect to broaden the application spectrum of FCM by providing complementary quantitative imaging as well as additional biophysical cell parameters which are not accessible in current high‐throughput FCM measurements.     

Analysis of DNA distributions from flow cytometry

A recently proposed automatic procedure for analyzing DNA distribution from flow cytometric data is extensively tested against simulated data. After a discussion of the procedure itself and of the simulation program, the results obtained are reported. They are evidence of the reliability of the procedure in extracting the proper underlying DNA distribution from sets of data obtained under various simulated instances. The different sources of error are then analyzed, along with their quantitative effects on the fit of the fluorescence histogram.     

High-throughput multiparametric imaging flow cytometry: toward diffraction-limited sub-cellular detection and monitoring of sub-cellular processes

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Analyzing cellular internalization of nanoparticles and bacteria by multi-spectral imaging flow cytometry

Nanoparticulate systems have emerged as valuable tools in vaccine delivery through their ability to efficiently deliver cargo, including proteins, to antigen presenting cells. Internalization of nanoparticles (NP) by antigen presenting cells is a critical step in generating an effective immune response to the encapsulated antigen. To determine how changes in nanoparticle formulation impact function, we sought to develop a high throughput, quantitative experimental protocol that was compatible with detecting internalized nanoparticles as well as bacteria. To date, two independent techniques, microscopy and flow cytometry, have been the methods used to study the phagocytosis of nanoparticles. The high throughput nature of flow cytometry generates robust statistical data. However, due to low resolution, it fails to accurately quantify internalized versus cell bound nanoparticles. Microscopy generates images with high spatial resolution; however, it is time consuming and involves small sample sizes. Multi-spectral imaging flow cytometry (MIFC) is a new technology that incorporates aspects of both microscopy and flow cytometry that performs multi-color spectral fluorescence and bright field imaging simultaneously through a laminar core. This capability provides an accurate analysis of fluorescent signal intensities and spatial relationships between different structures and cellular features at high speed. Herein, we describe a method utilizing MIFC to characterize the cell populations that have internalized polyanhydride nanoparticles or Salmonella enterica serovar Typhimurium. We also describe the preparation of nanoparticle suspensions, cell labeling, acquisition on an ImageStream(X) system and analysis of the data using the IDEAS application. We also demonstrate the application of a technique that can be used to differentiate the internalization pathways for nanoparticles and bacteria by using cytochalasin-D as an inhibitor of actin-mediated phagocytosis.     

Front Cover: A high‐throughput all‐optical laser‐scanning imaging flow cytometer with biomolecular specificity and subcellular resolution (J. Biophotonics 2/2018)

A new type of high‐throughput imaging flow cytometer (>20 000 cells s^‐1) based upon an all‐optical ultrafast laser‐scanning imaging technique, called free‐space angular‐chirp‐enhanced delay (FACED) is reported. FACED imaging flow cytometers enables high‐throughput visualization of functional morphology of individual cells with subcellular resolution. It critically empowers largescale and deep characterization of single cells and their heterogeneity with high statistical power— an ability to become increasingly critical in single‐cell analysis adopted in a wide range of biomedical and life‐science applications. Further details can be found in the article by Wenwei Yan et al. ( e201700178 )

     

A high‐throughput all‐optical laser‐scanning imaging flow cytometer with biomolecular specificity and subcellular resolution

Image‐based cellular assay advances approaches to dissect complex cellular characteristics through direct visualization of cellular functional structures. However, available technologies face a common challenge, especially when it comes to the unmet need for unraveling population heterogeneity at single‐cell precision: higher imaging resolution (and thus content) comes at the expense of lower throughput, or vice versa. To overcome this challenge, a new type of imaging flow cytometer based upon an all‐optical ultrafast laser‐scanning imaging technique, called free‐space angular‐chirp‐enhanced delay (FACED) is reported. It enables an imaging throughput (>20 000 cells s^?1) 1 to 2 orders of magnitude higher than the camera‐based imaging flow cytometers. It also has 2 critical advantages over optical time‐stretch imaging flow cytometry, which achieves a similar throughput: (1) it is widely compatible to the repertoire of biochemical contrast agents, favoring biomolecular‐specific cellular assay and (2) it enables high‐throughput visualization of functional morphology of individual cells with subcellular resolution. These capabilities enable multiparametric single‐cell image analysis which reveals cellular heterogeneity, for example, in the cell‐death processes demonstrated in this work—the information generally masked in non‐imaging flow cytometry. Therefore, this platform empowers not only efficient large‐scale single‐cell measurements, but also detailed mechanistic analysis of complex cellular processes.      

Holographic imaging of unlabelled sperm cells for semen analysis: a review

Male reproductive health in both humans and animals is an important research field in biological study. In order to characterize the morphology, the motility and the concentration of the sperm cells, which are the most important parameters to feature them, digital holography demonstrated to be an attractive technique. Indeed, it is a label‐free, non‐invasive and high‐resolution method that enables the characterization of live specimen. The review is intended both for summarizing the state‐of‐art on the semen analysis and recent achievement obtained by means of digital holography and for exploring new possible applications of digital holography in this field.

Quantitative phase maps of living swimming spermatozoa.     

Quantifying heterogeneity: flow cytometry of bacterial cultures

Flow cytometry is a technique which permits the characterisation of individual cells in populations, in terms of distributions in their properties such as DNA content, protein content, viability, enzyme activities and so on. We review the technique, and some of its recent applications to microbiological problems. It is concluded that cellular heterogeneity, in both batch and continuous axenic cultures, is far greater than is normally assumed. This has important implications for the quantitative analysis of microbial processes.     

Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE

The ability to analyze multiple single-cell parameters is critical for understanding cellular heterogeneity. Despite recent advances in measurement technology, methods for analyzing high-dimensional single-cell data are often subjective, labor intensive and require prior knowledge of the biological system. To objectively uncover cellular heterogeneity from single-cell measurements, we present a versatile computational approach, spanning-tree progression analysis of density-normalized events (SPADE). We applied SPADE to flow cytometry data of mouse bone marrow and to mass cytometry data of human bone marrow. In both cases, SPADE organized cells in a hierarchy of related phenotypes that partially recapitulated well-described patterns of hematopoiesis. We demonstrate that SPADE is robust to measurement noise and to the choice of cellular markers. SPADE facilitates the analysis of cellular heterogeneity, the identification of cell types and comparison of functional markers in response to perturbations.     

Three-dimensional imaging of walleye pollock otoliths: reconstruction from serial sections and fluorescent laser cytometry

Two techniques have been developed to examine the three-dimensional internal structure of otoliths. In the first, otoliths were sectioned serially, images were digitized, and the otolith was reconstructed as a computer model. In the second method growth increments were marked in vivo during their formation by immersing the fish in a fluorescent dye, and then the internal structure of the otolith visualized using laser cytometry. The results are useful for evaluating the potential for bias in otolith measurements and for determining the sectional plane with the least bias.     

In vivo photothermal flow cytometry: imaging and detection of individual cells in blood and lymph flow

Flow cytometry is a well-established, powerful technique for studying cells in artificial flow in vitro. This review covers a new potential application of this technique for studying normal and abnormal cells in their native condition in blood or lymph flow in vivo. Specifically, the capabilities of the label-free photothermal (PT) technique for detecting and imaging cells in the microvessel network of rat mesentery are analyzed from the point of view of overcoming the problems of flow cytometry in vivo. These problems include, among others, the influences of light scattering and absorption in vessel walls and surrounding tissues, instability of cell velocity, and cells numbers and positions in a vessel's cross-section. The potential applications of this new approach in cell biochemistry and medicine are discussed, including molecular imaging; studying the metabolism and pathogenesis of many diseases at a cellular level; and monitoring and quantifying metastatic and apoptotic cells, and/or their responses to therapeutic interventions (e.g., drug or radiation), in natural biological environments.     

Analysis of ploidy in a planarian by flow cytometry

Flow cytometry (flow microfluorimetry) provides a quick means for analysis of ploidy in planarians. Nuclei from homogenized tissues of the freshwater planarian Dugesia japonica japonica Ichikawa et Kawakatsu were stained with propidium iodide and measured with an argon-laser flow cytometer to produce histograms of DNA content. Tissues from sexually mature individuals produced histograms with a 1n (haploid) peak but no 3n peak (triploid peak), whereas those from asexual individuals showed a 2n peak or a 3n peak or both, but no 1n peak. Thus, the 1n peak distinguished sexual individuals. Mixoploid individuals, i.e., mosaics with both diploid and triploid tissues, were identified by the presence of both a 2n peak and a 3n peak. The ratios of the heights of the 2n and 3n peaks from tissues in different parts of a single mixoploid individual were similar, suggesting that the diploid and triploid cells are homogeneously distributed.     

Flow-through imaging cytometry for characterization of Salmonella subpopulations in alfalfa sprouts,a complex food system

We recently developed an approach combining fluorescence in situ hybridization (FISH) and flow cytometry for detecting low levels of Salmonella spp. (∼10₃ cells/mL sprout wash) against high levels of naturally occurring sprout flora (∼10₇–10₈ CFU/g sprouts). Although this “FISH and flow” approach provided rapid presence/absence testing for Salmonella in this complex food system, it was not capable of more nuanced tasks, such as probing the phenotypic complexity of the microbes present in sprouts or determining the physical interactions of Salmonella with these microbes, or with sprout debris. In the present study, we have combined rapid FISH-based labeling of Salmonella spp. in sprout washes with flow-through imaging cytometry (FT-IC), using the ImageStream_® 100, a commercial FT-IC instrument. This approach enables image-based characterization of various subpopulations of interest occurring within these samples. Here, we demonstrate the ability of FT-IC to unambiguously identify cells, cell aggregates and other events within these subpopulations based on both cell morphology and hybridization status after reaction with a Salmonella-targeted probe cocktail. Our ability to directly explore the nature of these events expands the layers of information possible from cytometric analyses of these complex samples and clearly demonstrates that “a picture is worth a thousand dots”.     

Cellometer image cytometry as a complementary tool to flow cytometry for verifying gated cell populations

Traditionally, many cell-based assays that analyze cell populations and functionalities have been performed using flow cytometry. However, flow cytometers remain relatively expensive and require highly trained operators for routine maintenance and data analysis. Recently, an image cytometry system has been developed by Nexcelom Bioscience (Lawrence, MA, USA) for automated cell concentration and viability measurement using bright-field and fluorescent imaging methods. Image cytometry is analogous to flow cytometry in that gating operations can be performed on the cell population based on size and fluorescent intensity. In addition, the image cytometer is capable of capturing bright-field and fluorescent images, allowing for the measurement of cellular size and fluorescence intensity data. In this study, we labeled a population of cells with an enzymatic vitality stain (calcein-AM) and a cell viability dye (propidium iodide) and compared the data generated by flow and image cytometry. We report that measuring vitality and viability using the image cytometer is as effective as flow cytometric assays and allows for visual confirmation of the sample to exclude cellular debris. Image cytometry offers a direct method for performing fluorescent cell-based assays but also may be used as a complementary tool to flow cytometers for aiding the analysis of more complex samples.     

Determination of bacterial cell number and cell volume by means of flow cytometry, transmission electron microscopy, and epifluorescence microscopy

Comparative measurements of bacterial total counts and volumes of flow cytometry (FCM), transmission electron (TEM), and epifluorescence microscopy (EFM), were undertaken during a four week mesocosm experiment. Total counts of bacteria measured by TEM, EFM, and FCM were in the range of 1 · 10⁶−6 cells ml⁻¹, 1 · 10⁶−3 · 10¹⁶ cells ml⁻¹, and 5 · 10⁵ cells ml⁻¹ respectively. The mean volume of the bacterial community, measured by means of EFM and TEM, increased from 0.12–0.15 μm³ at the start of the experiment to 0.39–0.53 μm³ at the end. Generally, there was good agreement between the two methods and regression analyses gave r = 0.87 (p < < 0.01) for cell volume and r = 0.97 (p < < 0.01) for cell number. DAPI stained bacteria with volumes less than 0.2 μm³ were not detected by flow cytometry and these were generally an order of magnitude lower than counts made by TEM and EFM. For samples where the mean bacterial cell volume was longer than 0.3 μm³, all three methods were in agreement both with respect to counts and volume estimates.     

How to convert a traditional electron microscopy laboratory to digital imaging: follow the 'middle road'

Today, electron microscopy (EM) is increasingly confronted by the revolution in image-processing technology provoked by modern computers. Digital cameras are fast replacing film-based cameras in EM, as elsewhere, and the procedures for digital image-archiving, image-analysis, and image publication are rapidly evolving. To take advantage of these advances, we have chosen for the moment a 'middle road', in which film remains our basic recording medium in the electron microscope, but immediately thereafter, all film-based images are converted to digital files for further analysis and processing. The rationale behind this approach is that film still offers far greater sensitivity and resolution (providing an image equivalent to> 10 000 pixels per inch in a 1-s exposure), and film is still far easier to organize and archive than digital images of comparable resolution. However, digital manipulation of EM images has become mandatory. Hence, we explain here, in some detail, how we convert from film to digital.     

Quantification of cell hybridoma yields with confocal microscopy and flow cytometry

The fusion of antigen presenting and cancer cells leads to the formation of hybrid cells, which are considered a potential vaccine for treating cancer. The quality assessment of hybrid cell vaccines is crucial for the introduction of this new treatment. Flow cytometry was the method used recently, since it is faster in comparison to classical microscopy. Here we describe a rapid confocal microscopy based approach to quantify hybrid cell yields. The extent of fusion rate was determined by confocal microscopy by counting dual fluorescent cells and by measuring the area of co-localized pixels. Results of both methods showed high degree of correlation. The same samples were also analyzed by flow cytometry. Fusion rates determined with both techniques showed significant correlation. In conclusion, using confocal microscopy we developed a sensitive and a rapid method to assess the yield of hybridomas in a large number of electrofused cells.     

Applications of flow cytometry sorting in the pharmaceutical industry: A review

The article reviews applications of flow cytometry sorting in manufacturing of pharmaceuticals. Flow cytometry sorting is an extremely powerful tool for monitoring, screening and separating single cells based on any property that can be measured by flow cytometry. Different applications of flow cytometry sorting are classified into groups and discussed in separate sections as follows: (a) isolation of cell types, (b) high throughput screening, (c) cell surface display, (d) droplet fluorescent-activated cell sorting (FACS). Future opportunities are identified including: (a) sorting of particular fractions of the cell population based on a property of interest for generating inoculum that will result in improved outcomes of cell cultures and (b) the use of population balance models in combination with FACS to design and optimize cell cultures.