Front Cover: Label‐free spectroscopic tissue characterization using fluorescence excitation‐scanning spectral imaging (J. Biophotonics 2/2020)

A false‐colored and merged image of fresh, ex vivo rat kidney acquired using an excitation‐scanning hyperspectral imaging system. The spectral image was acquired using excitation wavelengths from 360 to 550 nm. Colors represent principal components extracted from a spectral image cube featuring no added labels or markers. Further details can be found in the article by Peter F. Favreau, Joshua A. Deal, Bradley Harris, et al. ( e201900183 ).

     

Label‐free bioanalysis of Leishmania infantum using refractive index tomography with partially coherent illumination

In this work, we report the use of refractive index (RI) tomography for quantitative analysis of unstained DH82 cell line infected with Leishmania infantum. The cell RI is reconstructed by using a modality of optical diffraction tomography technique that employs partially coherent illumination, thus enabling inherent compatibility with conventional wide‐field microscopes. The experimental results demonstrate that the cell dry mass concentration (DMC) obtained from the RI allows for reliable detection and quantitative characterization of the infection and its temporal evolution. The RI provides important insight for studying morphological changes, particularly membrane blebbing linked to an apoptosis (cell death) process induced by the disease. Moreover, the results evidence that infected DH82 cells exhibit a higher DMC than healthy samples. These findings open up promising perspectives for clinical diagnosis of Leishmania.     

Label‐free quantitative chemical imaging and classification analysis of adipogenesis using mouse embryonic stem cells

Stem cells have received much attention recently for their potential utility in regenerative medicine. The identification of their differentiated progeny often requires complex staining procedures, and is challenging for intermediary stages which are a priori unknown. In this work, the ability of label‐free quantitative coherent anti‐Stokes Raman scattering (CARS) micro‐spectroscopy to identify populations of intermediate cell states during the differentiation of murine embryonic stem cells into adipocytes is assessed. Cells were imaged at different days of differentiation by hyperspectral CARS, and images were analysed with an unsupervised factorization algorithm providing Raman‐like spectra and spatially resolved maps of chemical components. Chemical decomposition combined with a statistical analysis of their spatial distributions provided a set of parameters that were used for classification analysis. The first 2 principal components of these parameters indicated 3 main groups, attributed to undifferentiated cells, cells differentiated into committed white pre‐adipocytes, and differentiating cells exhibiting a distinct protein globular structure with adjacent lipid droplets. An unsupervised classification methodology was developed, separating undifferentiated cell from cells in other stages, using a novel method to estimate the optimal number of clusters. The proposed unsupervised classification pipeline of hyperspectral CARS data offers a promising new tool for automated cell sorting in lineage analysis.      

Label‐free imaging and spectroscopy for early detection of cervical cancer

The label‐free imaging and spectroscopy method was studied on cervical unstained tissue sections obtained from 36 patients. The native fluorescence spectra of tissues are analyzed by the optical redox ratio (ORR), which is defined as fluorescence intensity ratio between NADH and FAD, and indicates the metabolism change with the cancer development. The ORRs of normal tissues are consistently higher than those of precancer or cancerous tissues. A criterion line of ORR at 5.0 can be used to discriminate cervical precancer/cancer from normal tissues. The sensitivity and specificity of the native fluorescence spectroscopy method for cervical cancer diagnosis are determined as 100% and 91%. Moreover, the native fluorescence spectroscopy study is much more sensitive on the healthy region of cervical precancer/cancer patients compared with the traditional clinical staining method. The results suggest label‐free imaging and spectroscopy is a fast, highly sensitive and specific method on the detection of cervical cancer.      

Label‐free in vivo cellular‐level detection and imaging of apoptosis

Cell death plays a critical role in health and homeostasis as well as in the pathogenesis and treatment of a broad spectrum of diseases and can be broadly divided into two main categories: apoptosis, or programmed cell death, and necrosis, or acute cell death. While these processes have been characterized extensively in vitro, label‐free detection of apoptosis and necrosis at the cellular level in vivo has yet to be shown. In this study, for the first time, fluorescence lifetime imaging microscopy (FLIM) of intracellular reduced nicotinamide adenine dinucleotide (NADH) was utilized to assess the metabolic response of in vivo mouse epidermal keratinocytes following induction of apoptosis and necrosis. Results show significantly elevated levels of both the mean lifetime of NADH and the intracellular ratio of protein bound‐to‐free NADH in the apoptotic compared to the necrotic tissue. In addition, the longitudinal profiles of these two cell death processes show remarkable differences. By identifying and extracting these temporal metabolic signatures, apoptosis in single cells can be studied in native tissue environments within the living organism.

     

Label‐free ultra‐sensitive visualization of structure below the diffraction resolution limit

For both fundamental study of biological processes and early diagnosis of diseases, information about nanoscale changes in tissue and cell structure is crucial. Nowadays, almost all currently known nanoscopy methods rely upon the contrast created by fluorescent stains attached to the object or molecule of interest. This causes limitations due to the impact of the label on the object and its environment, as well as its applicability in vivo, particularly in humans. In this paper, a new label‐free approach to visualize small structure with nano‐sensitivity to structural alterations is introduced. Numerically synthesized profiles of the axial spatial frequencies are used to probe the structure within areas whose size can be beyond the diffraction resolution limit. Thereafter, nanoscale structural alterations within such areas can be visualized and objects, including biological ones, can be investigated with sub‐wavelength resolution, in vivo, in their natural environment. Some preliminary results, including numerical simulations and experiments, which demonstrate the nano‐sensitivity and super‐resolution ability of our approach, are presented.      

Label‐free imaging of healthy and infarcted fetal sheep hearts by two‐photon microscopy

Coronary heart disease is one of the largest causes of death worldwide, making this a significant health care issue. A critical problem for the adult human heart is that it does not undergo effective repair in response to damage, leaving patients with a poor prognosis. Unlike the adult, fetal hearts have the ability to repair after myocardial damage. Using two‐photon microscopy, we have visualised the morphological and metabolic changes following myocardial infarction in sheep fetuses, to characterise response to cardiac injury in a mammalian model. Following myocardial infarction, fetal hearts showed no significant increase in collagen deposition in the region of the infarction, when compared to either the surrounding tissue or shams. In contrast, metabolic activity (i. e. NAD(P)H and FAD) was significantly reduced in the region of myocardial infarction, when compared to either the surrounding tissue or sham hearts. For comparison, we also imaged two hearts from preadolescent sheep (sham and myocardial infarction) and showed highly ordered collagen deposition with decreased metabolic activity within the infarcted area. Therefore, two‐photon imaging had the capacity to image both morphological and metabolic changes in response to myocardial infarction and showed differences in the response with age. Picture : Two‐photon imaging of myocardial infarction ( b and d ) enabled the visualisation of increased collagen (blue; Em=431 nm) and changes in other tissue autofluorescence (green; Em=489–606 nm) in fetal ( a and b ) and preadolescent ( c and d ) hearts, compared to shams ( a and c ). The excitation wavelength was 840 nm. Scale bars: 10 μm.

     

Rapid acquisition of Raman spectral maps through minimal sampling: applications in tissue imaging

A method is presented for acquiring high‐spatial‐resolution spectral maps, in particular for Raman micro‐spectroscopy (RMS), by selectively sampling the spatial features of interest and interpolating the results. This method achieves up to 30 times reduction in the sampling time compared to raster‐scanning, the resulting images have excellent correlation with conventional histopathological staining, and are achieved with sufficient spectral signal‐to‐noise ratio to identify individual tissue structures. The benefits of this selective sampling method are not limited to tissue imaging however; it is expected that the method may be applied to other techniques which employ point‐by‐point mapping of large substrates. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Full‐field swept‐source optical coherence tomography and neural tissue classification for deep brain imaging

Optical coherence tomography can differentiate brain regions with intrinsic contrast and at a micron scale resolution. Such a device can be particularly useful as a real‐time neurosurgical guidance tool. We present, to our knowledge, the first full‐field swept‐source optical coherence tomography system operating near a wavelength of 1310 nm. The proof‐of‐concept system was integrated with an endoscopic probe tip, which is compatible with deep brain stimulation keyhole neurosurgery. Neuroimaging experiments were performed on ex vivo brain tissues and in vivo in rat brains. Using classification algorithms involving texture features and optical attenuation, images were successfully classified into three brain tissue types.     

Label‐free and non‐invasive discrimination of HaCaT and melanoma cells in a co‐culture model by hyperspectral confocal reflectance microscopy

A novel hyperspectral confocal microscopy method to separate different cell populations in a co‐culture model is presented here. The described methodological and instrumental approach allows discrimination of different cell types using a non‐invasive, label free method with good accuracy with a single cell resolution. In particular, melanoma cells are discriminated from HaCaT cells by hyperspectral confocal imaging, principal component analysis and optical frequencies signing, as confirmed by fluorescence labelling cross check. The identification seems to be quite robust to be insensitive to the cellular shape within the studied samples, enabling to separate cells according to their cytotype down to a single cell sensitivity.

Set of hyperspectral images of melanoma‐keratinocytes co‐culture model (left), score plot of principal component analysis and spectral analysis of principal components coefficients (center), label‐free spectral identification of cell populations (right).     

Label‐free in vivo imaging of peripheral nerve by multispectral photoacoustic tomography

Unintentional surgical damage to nerves is mainly due to poor visualization of nerve tissue relative to adjacent structures. Multispectral photoacoustic tomography can provide chemical information with specificity and ultrasonic spatial resolution with centimeter imaging depth, making it a potential tool for noninvasive neural imaging. To implement this label‐free imaging approach, a multispectral photoacoustic tomography platform was built. Imaging depth and spatial resolution were characterized. In vivo imaging of the femoral nerve that is 2 mm deep in a nude mouse was performed. Through multivariate curve resolution analysis, the femoral nerve was discriminated from the femoral artery and chemical maps of their spatial distributions were generated.

The femoral nerve was discriminated from the femoral artery by multivariate curve resolution analysis.     

Oblique scanning 2‐photon light‐sheet fluorescence microscopy for rapid volumetric imaging

Light‐sheet fluorescence microscopy (LSFM) is a powerful tool for biological studies because it allows for optical sectioning of dynamic samples with superior temporal resolution. However, LSFM using 2 orthogonally co‐aligned objectives requires a special sample geometry, and volumetric imaging speed is limited due to physical sample translation. This paper describes an oblique scanning 2‐photon LSFM (OS‐2P‐LSFM) that eliminates these limitations by using a single objective near the sample and a refractive scanning‐descanning system. This system also provides improved light‐sheet confinement against scattering by using a 2‐photon Bessel beam. The OS‐2P‐LSFM hold promise for studying structural, functional and dynamic aspects of living tissues and organisms because it allows for high‐speed, translation‐free and scattering‐robust 3D imaging of large biological specimens.      

Two‐photon focal modulation microscopy for high‐resolution imaging in deep tissue

Two‐photon microscopy (2PM) is one of the most widely used tools for in vivo deep tissue imaging. However, the spatial resolution and penetration depth are still limited due to the strong scattering background. Here we demonstrate a two‐photon focal modulation microscopy. By utilizing the modulation and demodulation techniques, background rejection capability is enhanced, thus spatial resolution and imaging penetration depth are improved. Compared with 2PM, the transverse resolution is increased by 70%, while the axial resolution is increased to 2‐fold. Furthermore, when applied in conventional 2PM mode, it can achieve inertial‐free scanning in either transverse or axial direction with in principle unlimited scanning speed. Finally, we applied 2PFMM in thick scattering samples to further examine the imaging performance. The results show that the signal‐to‐background ratio of 2PFMM can be improved up to five times of 2PM at the depth of 500 μm. Fluorescent imaging in the mouse brain tissue. 3D Thy1‐GFP hippocampal neurons imaged by (A) 2PM compared with (B) 2PFMM; (C‐H) xy maximum‐intensity projection imaged by 2PM compared with 2PFMM. Scale bar 50 μm.      

Label‐free stimulated Raman scattering imaging reveals silicone breast implant material in tissue

Millions of women worldwide have silicone breast implants. It has been reported that implant failure occurs in approximately a tenth of patients within 10 years, and the consequences of dissemination of silicone debris are poorly understood. Currently, silicone detection in histopathological slides is based on morphological features as no specific immunohistochemical technique is available. Here, we show the feasibility and sensitivity of stimulated Raman scattering (SRS) imaging to specifically detect silicone material in stained histopathological slides, without additional sample treatment. Histology slides of four periprosthetic capsules from different implant types were obtained after explantation, as well as an enlarged axillary lymph node from a patient with a ruptured implant. SRS images coregistered with bright‐field images revealed the distribution and quantity of silicone material in the tissue. Fast and high‐resolution imaging of histology slides with molecular specificity using SRS provides an opportunity to investigate the role of silicone debris in the pathophysiology of implant‐linked diseases.     

Label‐free indicator‐free nucleic acid biosensors using carbon nanotubes

Carbon nanotubes (CNTs) are promising components for electrical biosensors due to their high surface‐to‐volume ratio and improved electron transfer properties. This review surveys CNT‐based label‐free indicator‐free biosensing strategies that have been demonstrated for the sensitive detection of nucleic acids. After an introduction to CNTs, the fabrication of biosensors and techniques for the immobilization of probe nucleic acids are outlined. Subsequently, two major label‐free strategies namely electrochemical transduction and field‐effect detection are presented. The focus is on direct detection methods that avoid labels, indicators, intercalating agents, mediators, and even secondary receptors. The review concludes with a comparison between the various biosensors and presents ways of engineering them so that they can be deployed in realistic diagnostic applications.     

Slide‐free imaging of hematoxylin‐eosin stained whole‐mount tissues using combined third‐harmonic generation and three‐photon fluorescence microscopy

Intraoperative margin assessment of surgical tissues during cancer surgery is clinically important, especially in the case of tissue conserving surgery like Mohs micrographic surgery in which minimization of the surgical area is considered crucial. Frozen pathology is the gold standard of assessing excised tissues for signs of remaining cancerous lesions. The current protocol, however, is time‐consuming and labor‐intensive. Instead of the complex frozen sectioning, staining, and traditional white light microscopy imaging protocol, optically sectioned histopathological imaging of hematoxylin‐eosin stained whole‐mount skin tissues with a subfemtoliter resolution is demonstrated by using nonlinear microscopy in this study. With our proposed method, the reagents of staining and the contrast of imaging are fully consistent with the current clinical standard of frozen pathology, thus facilitating rapid intraoperative assessment of surgical tissues for future applications. Image: Slide‐free nonlinear microscopy imaging of H&E stained whole‐mount skin tissue showing the morphology of sweat glands.      

Label‐free imaging of redox status and collagen deposition showing metabolic differences in the heart

The heart has high metabolic demand to maintain function. The primary source of energy supply to support correct contractile muscle function differs between a fetus and an adult. In fetal life, ATP is primarily generated by glycolysis and lactate oxidation, whereas following birth, there is a shift towards a reliance on mitochondrial metabolism and fatty acid oxidation. This change in metabolic status is an adaptation to different fuel availability, oxygenation and growth patterns. In this study, we have employed 2‐photon excitation fluorescence microscopy to define the relationship between two critical metabolic cofactors nicotinamide adenine dinucleotide(P)H and flavin adenine dinucleotide, effectively utilizing a redox ratio to differentiate between the metabolic status in fetal (proliferative) and adult (quiescent/hypertrophic) hearts. Two‐photon imaging was also used to visually confirm the known increase in collagen deposition in the adult heart. The changes observed were consistent with a hypertrophic growth profile and greater availability of fatty acids in the adult heart, compared to the proliferative fetal heart. Two‐photon excitation fluorescence microscopy is therefore a convenient imaging technology that enables the monitoring of striated muscle architecture and the metabolic status of heart tissue. This imaging technology can potentially be employed to visualize cardiac and other muscle pathologies.      

Label‐free differentiation of human immunodeficiency virus‐1 infected from uninfected cells using transmission measurement

Transmission measurement has been perceived as a potential candidate for label‐free investigation of biological material. It is a real‐time, label‐free and non‐invasive optical detection technique that has found wide applications in pharmaceutical industry as well as the biological and medical fields. Combining transmission measurement with optical trapping has emerged as a powerful tool allowing stable sample trapping, while also facilitating transmittance data analysis. In this study, a near‐infrared laser beam emitting at a wavelength of 1064 nm was used for both optical trapping and transmission measurement investigation of human immunodeficiency virus 1 (HIV‐1) infected and uninfected TZM‐bl cells. The measurements of the transmittance intensity of individual cells in solution were carried out using a home built optical trapping system combined with laser transmission setup using a single beam gradient trap. Transmittance spectral intensity patterns revealed significant differences between the HIV‐1 infected and uninfected cells. This result suggests that the transmittance data analysis technique used in this study has the potential to differentiate between infected and uninfected TZM‐bl cells without the use of labels. The results obtained in this study could pave a way into developing an HIV‐1 label‐free diagnostic tool with possible applications at the point of care .     

Towards automated cancer screening: Label‐free classification of fixed cell samples using wavelength modulated Raman spectroscopy

The ability to provide quantitative, objective and automated pathological analysis would provide enormous benefits for national cancer screening programmes, in terms of both resource reduction and improved patient wellbeing. The move towards molecular pathology through spectroscopic methods shows great promise, but has been restricted by spectral quality, acquisition times and lack of direct clinical application. In this paper, we present the application of wavelength modulated Raman spectroscopy for the automated label‐ and fluorescence‐free classification of fixed squamous epithelial cells in suspension, such as those produced during a cervical smear test. Direct comparison with standard Raman spectroscopy shows marked improvement of sensitivity and specificity when considering both human papillomavirus (sensitivity +12.0%, specificity +5.3%) and transformation status (sensitivity +10.3%, specificity +11.1%). Studies on the impact of intracellular sampling location and storage effects suggest that wavelength modulated Raman spectroscopy is sufficiently robust to be used in fixed cell classification, but requires further investigations of potential sources of molecular variation in order to improve current clinical tools.      

Development of an image pre‐processor for operational hyperspectral laryngeal cancer detection

Hyperspectral imaging (HSI) is a technology with high potential in the field of non‐invasive detection of cancer. However, in complex imaging situations like HSI of the larynx with a rigid endoscope, various image interferences can disable a proper classification of cancerous tissue. We identified three main problems: i) misregistration of single images in a HS cube due to patient heartbeat ii) image noise and iii) specular reflections (SR). Consequently, an image pre‐processor is developed in the current paper to overcome these image interferences. It encompasses i) image registration ii) noise removal by minimum noise fraction (MNF) transformation and iii) a novel SR detection method. The results reveal that the pre‐processor improves classification performance, while the newly developed SR detection method outperforms global thresholding technique hitherto used by 46%. The novel pre‐processor will be used for future studies towards the development of an operational scheme for HS‐based larynx cancer detection.

RGB image of the larynx derived from the hyperspectral cube and corresponding specular reflections ( a ) manually segmented and ( b ) detected by a novel specular reflection detection method.