A model for predicting pathologist's velocity profiles when navigating virtual slides

Navigation through large microscopic images is a potential benefit for histology or pathology teaching, for improving the quality of diagnosis in pathology, or for communicating pathologists in some telemedicine applications. However, the size of this kind of images is prohibitive for navigation with conventional techniques. This article presents a soft computing model, which permits to anticipate the pathologist trajectories in diagnosis tasks when exploring virtual slides. The Bayesian strategy combines an offline model of a baseline pathologist knowledge (the prior) and a prediction online module (the likelihood) that captures a particular pathologist navigation pattern. While optimal parameters for the biologically inspired offline model are calculated using an Expectation‐Maximization strategy, prediction is carried out by a particle filter. Parameters are estimated from several series of actual navigations performed by several pathologists in different virtual slides. The present approach is compared with other conventional prediction methods and decreases the calculated MSE in about a 50% for the entire group of pathologists. Microsc. Res. Tech., 2010. © 2009 Wiley‐Liss, Inc.     

基于虚拟仪器的组合导航系统测试平台的设计

提出利用虚拟仪器技术开发测试平台的设计方法,详细介绍了某型组合导航系统测试平台的软硬件设计,重点分析了设计中难点问题及其解决方法.通过实际测试和用户使用,证实该测试平台具有系统性能稳定、可靠,操作方便,界面友好等特点.     

Condenser‐free contrast methods for transmitted‐light microscopy

Phase contrast microscopy allows the study of highly transparent yet detail‐rich specimens by producing intensity contrast from phase objects within the sample. Presented here is a generalized phase contrast illumination schema in which condenser optics are entirely abrogated, yielding a condenser‐free yet highly effective method of obtaining phase contrast in transmitted‐light microscopy. A ring of light emitting diodes (LEDs) is positioned within the light‐path such that observation of the objective back focal plane places the illuminating ring in appropriate conjunction with the phase ring. It is demonstrated that true Zernike phase contrast is obtained, whose geometry can be flexibly manipulated to provide an arbitrary working distance between illuminator and sample. Condenser‐free phase contrast is demonstrated across a range of magnifications (4–100×), numerical apertures (0.13–1.65NA) and conventional phase positions. Also demonstrated is condenser‐free darkfield microscopy as well as combinatorial contrast including Rheinberg illumination and simultaneous, colour‐contrasted, brightfield, darkfield and Zernike phase contrast. By providing enhanced and arbitrary working space above the preparation, a range of concurrent imaging and electrophysiological techniques will be technically facilitated. Condenser‐free phase contrast is demonstrated in conjunction with scanning ion conductance microscopy (SICM), using a notched ring to admit the scanned probe. The compact, versatile LED illumination schema will further lend itself to novel next‐generation transmitted‐light microscopy designs. The condenser‐free illumination method, using rings of independent or radially‐scanned emitters, may be exploited in future in other electromagnetic wavebands, including X‐rays or the infrared.     

基于虚拟仪器技术的捷联惯性/ GNSS组合导航系统自动测试系统设计

捷联惯性/GNSS组合导航系统是飞机定位和导航的重要机载电子设备;但是开发具有模块化、柔性、通用性和远程控制和测试功能的通用自动测试平台,却是一个难题.文中在简要介绍虚拟仪器技术的基础上,提出用虚拟仪器技术开发通用自动测试系统的设计方法;详细介绍了捷联惯性/GNSS组合导航系统测试系统的软硬件设计,重点分析了设计中难点问题及其解决方法.通过实际测试和评估,该综合测试系统性能稳定、可靠,操作方便,界面友好.     

Pipeline for illumination correction of images for high‐throughput microscopy

The presence of systematic noise in images in high‐throughput microscopy experiments can significantly impact the accuracy of downstream results. Among the most common sources of systematic noise is non‐homogeneous illumination across the image field. This often adds an unacceptable level of noise, obscures true quantitative differences and precludes biological experiments that rely on accurate fluorescence intensity measurements. In this paper, we seek to quantify the improvement in the quality of high‐content screen readouts due to software‐based illumination correction. We present a straightforward illumination correction pipeline that has been used by our group across many experiments. We test the pipeline on real‐world high‐throughput image sets and evaluate the performance of the pipeline at two levels: (a) Z′‐factor to evaluate the effect of the image correction on a univariate readout, representative of a typical high‐content screen, and (b) classification accuracy on phenotypic signatures derived from the images, representative of an experiment involving more complex data mining. We find that applying the proposed post‐hoc correction method improves performance in both experiments, even when illumination correction has already been applied using software associated with the instrument. To facilitate the ready application and future development of illumination correction methods, we have made our complete test data sets as well as open‐source image analysis pipelines publicly available. This software‐based solution has the potential to improve outcomes for a wide‐variety of image‐based HTS experiments.     

Super‐resolution optical microscopy based on scannable cantilever‐combined microsphere

We report an ingenious method of super‐resolution optical microscopy utilizing scannable cantilever‐combined microsphere. By scanning the microsphere over the sample surface in a cantilever‐combined microsphere‐sample contact state, super‐resolution images can be acquired at arbitrary sample regions through near‐field information collection by the microsphere. In addition, such a state can effectively reduce the possibility of breaking the cantilever and damaging the microsphere or sample surface. This work has developed a new method and technique of sub‐diffraction‐limit optical microscopy, and can be practically applied in various fields of micro/nanoscopy. Microsc. Res. Tech. 78:1128–1132, 2015. © 2015 Wiley Periodicals, Inc.     

A comparison study of detecting gold nanorods in living cells with confocal reflectance microscopy and two‐photon fluorescence microscopy

Two‐photon fluorescence microscopy and confocal reflectance microscopy were compared to detect intracellular gold nanorods in rat basophilic leukaemia cells. The two‐photon photoluminescence images of gold nanorods were acquired by an 800 nm fs laser with the power of milliwatts. The advantages of the obtained two‐photon photoluminescence images are high spatial resolution and reduced background. However, a remarkable photothermal effect on cells was seen after 30 times continuous scanning of the femto‐second laser, potentially affecting the subcellular localization pattern of the nanorods. In the case of confocal reflectance microscopy the images of gold nanorods can be obtained with the power of light source as low as microwatts, thus avoiding the photothermal effect, but the resolution of such images is reduced. We have noted that confocal reflectance images of cellular gold nanorods achieved with 50 μW 800 nm fs have a relatively poor resolution, whereas the 50 μW 488 nm CW laser can acquire reasonably satisfactory 3D reflectance images with improved resolution because of its shorter wavelength. Therefore, confocal reflectance microscopy may also be a suitable means to image intracellular gold nanorods with the advantage of reduced photothermal effect.     

Sub‐100‐nanometre resolution in total internal reflection fluorescence microscopy

Combining total internal reflection fluorescence microscopy with structured illumination allows optical wide‐field imaging with sub‐100‐nanometre resolution. We present a novel objective‐launch set‐up for standing wave illumination that takes advantage of a tunable transmission diffraction grating and transparent phase shifters actuated by electro‐active polymers to control the excitation pattern in three dimensions. Image acquisition is completed in less than 1 s. To reconstruct the extended image spectrum, we apply a new apodization function that results in a lateral resolution of 89 nm for green emission wavelength.     

Cryo‐scanning x‐ray diffraction microscopy of frozen‐hydrated yeast

We developed cryo‐scanning x‐ray diffraction microscopy, utilizing hard x‐ray ptychography at cryogenic temperature, for the noninvasive, high‐resolution imaging of wet, extended biological samples and report its first frozen‐hydrated imaging. Utilizing phase contrast at hard x‐rays, cryo‐scanning x‐ray diffraction microscopy provides the penetration power suitable for thick samples while retaining sensitivity to minute density changes within unstained samples. It is dose‐efficient and further minimizes radiation damage by keeping the wet samples at cryogenic temperature. We demonstrate these capabilities in two dimensions by imaging unstained frozen‐hydrated budding yeast cells, achieving a spatial resolution of 85 nm with a phase sensitivity of 0.0053 radians. The current work presents the feasibility of cryo‐scanning x‐ray diffraction microscopy for quantitative, high‐resolution imaging of unmodified biological samples extending to tens of micrometres.     

Compact non‐contact total emission detection for in vivo multiphoton excitation microscopy

We describe a compact, non‐contact design for a total emission detection (c‐TED) system for intra‐vital multiphoton imaging. To conform to a standard upright two‐photon microscope design, this system uses a parabolic mirror surrounding a standard microscope objective in concert with an optical path that does not interfere with normal microscope operation. The non‐contact design of this device allows for maximal light collection without disrupting the physiology of the specimen being examined. Tests were conducted on exposed tissues in live animals to examine the emission collection enhancement of the c‐TED device compared to heavily optimized objective‐based emission collection. The best light collection enhancement was seen from murine fat (5×–2× gains as a function of depth), whereas murine skeletal muscle and rat kidney showed gains of over two and just under twofold near the surface, respectively. Gains decreased with imaging depth (particularly in the kidney). Zebrafish imaging on a reflective substrate showed close to a twofold gain throughout the entire volume of an intact embryo (approximately 150 μm deep). Direct measurement of bleaching rates confirmed that the lower laser powers, enabled by greater light collection efficiency, yielded reduced photobleaching in vivo. The potential benefits of increased light collection in terms of speed of imaging and reduced photo‐damage, as well as the applicability of this device to other multiphoton imaging methods is discussed.     

Exploring the use of soft X‐ray microscopy for imaging subcellular structures of the inner ear1

The soft X‐ray microscope at the Lawrence Berkeley National Laboratory was developed for visualization of biological tissue. Soft X‐ray microscopy provides high‐resolution visualization of hydrated, non‐embedded and non‐sectioned cells and is thus potentially an alternative to transmission electron microscopy. Here we show for the first time soft X‐ray micrographs of structures isolated from the guinea‐pig inner ear. Sensory outer hair cells and supporting pillar cells are readily visualized. In the hair cells, individual stereocilia can easily be identified within the apical hair bundle. The underlying cuticular plate is, however, too densely composed or too thick to be clearly visualized, and thus appears very dark. The cytoplasmic structures protruding from the cuticular plates as well as the fibrillar material surrounding and projecting from the cell nuclei can be seen. In the pillar cells the images reveal individual microtubule bundles. Soft X‐ray images of the acellular tectorial membrane and thin two‐layered Reissner's membrane display a level of resolution comparable to low‐power electron microscopy.     

An open‐source deconvolution software package for 3‐D quantitative fluorescence microscopy imaging

Deconvolution techniques have been widely used for restoring the 3‐D quantitative information of an unknown specimen observed using a wide‐field fluorescence microscope. Deconv , an open‐source deconvolution software package, was developed for 3‐D quantitative fluorescence microscopy imaging and was released under the GNU Public License. Deconv provides numerical routines for simulation of a 3‐D point spread function and deconvolution routines implemented three constrained iterative deconvolution algorithms: one based on a Poisson noise model and two others based on a Gaussian noise model. These algorithms are presented and evaluated using synthetic images and experimentally obtained microscope images, and the use of the library is explained. Deconv allows users to assess the utility of these deconvolution algorithms and to determine which are suited for a particular imaging application. The design of Deconv makes it easy for deconvolution capabilities to be incorporated into existing imaging applications.     

Harmonic demodulation and minimum enhancement factors in field‐enhanced near‐field optical microscopy

Field‐enhanced scanning optical microscopy relies on the design and fabrication of plasmonic probes which had to provide optical and chemical contrast at the nanoscale. In order to do so, the scattering containing the near‐field information recorded in a field‐enhanced scanning optical microscopy experiment, has to surpass the background light, always present due to multiple interferences between the macroscopic probe and sample. In this work, we show that when the probe–sample distance is modulated with very low amplitude, the higher the harmonic demodulation is, the better the ratio between the near‐field signal and the interferometric background results. The choice of working at a given n harmonic is dictated by the experiment when the signal at the n + 1 harmonic goes below the experimental noise. We demonstrate that the optical contrast comes from the nth derivative of the near‐field scattering, amplified by the interferometric background. By modelling the far and near field we calculate the probe–sample approach curves, which fit very well the experimental ones. After taking a great amount of experimental data for different probes and samples, we conclude with a table of the minimum enhancement factors needed to have optical contrast with field‐enhanced scanning optical microscopy.     

Bioluminescence microscopy using a short focal‐length imaging lens

Bioluminescence from cells is so dim that bioluminescence microscopy is performed using an ultra low‐light imaging camera. Although the image sensor of such cameras has been greatly improved over time, such improvements have not been made commercially available for microscopes until now. Here, we customized the optical system of a microscope for bioluminescence imaging. As a result, bioluminescence images of cells could be captured with a conventional objective lens and colour imaging camera. As bioluminescence microscopy requires no excitation light, it lacks the photo‐toxicity associated with fluorescence imaging and permits the long‐term, nonlethal observation of living cells. Thus, bioluminescence microscopy would be a powerful tool in cellular biology that complements fluorescence microscopy.     

Out‐of‐focus background subtraction for fast structured illumination super‐resolution microscopy of optically thick samples

We propose a structured illumination microscopy method to combine super resolution and optical sectioning in three‐dimensional (3D) samples that allows the use of two‐dimensional (2D) data processing. Indeed, obtaining super‐resolution images of thick samples is a difficult task if low spatial frequencies are present in the in‐focus section of the sample, as these frequencies have to be distinguished from the out‐of‐focus background. A rigorous treatment would require a 3D reconstruction of the whole sample using a 3D point spread function and a 3D stack of structured illumination data. The number of raw images required, 15 per optical section in this case, limits the rate at which high‐resolution images can be obtained. We show that by a succession of two different treatments of structured illumination data we can estimate the contrast of the illumination pattern and remove the out‐of‐focus content from the raw images. After this cleaning step, we can obtain super‐resolution images of optical sections in thick samples using a two‐beam harmonic illumination pattern and a limited number of raw images. This two‐step processing makes it possible to obtain super resolved optical sections in thick samples as fast as if the sample was two‐dimensional.     

3‐D PSF fitting for fluorescence microscopy: implementation and localization application

Localization microscopy relies on computationally efficient Gaussian approximations of the point spread function for the calculation of fluorophore positions. Theoretical predictions show that under specific experimental conditions, localization accuracy is significantly improved when the localization is performed using a more realistic model. Here, we show how this can be achieved by considering three‐dimensional (3‐D) point spread function models for the wide field microscope. We introduce a least‐squares point spread function fitting framework that utilizes the Gibson and Lanni model and propose a computationally efficient way for evaluating its derivative functions. We demonstrate the usefulness of the proposed approach with algorithms for particle localization and defocus estimation, both implemented as plugins for ImageJ.