抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

MUCKE aims to mine a large volume of images, to structure them conceptually and to use this conceptual structuring in order to improve large-scale image retrieval. The last decade witnessed important progress concerning low-level image representations. However, there are a number problems which need to be solved in order to unleash the full potential of image mining in applications. The central problem with low-level representations is the mismatch between them and the human interpretation of image content. This problem can be instantiated, for instance, by the incapability of existing descriptors to capture spatial relationships between the concepts represented or by their incapability to convey an explanation of why two images are similar in a content-based image retrieval framework. We start by assessing existing local descriptors for image classification and by proposing to use co-occurrence matrices to better capture spatial relationships in images. The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images. Consequently, we introduce methods which tackle these two problems and compare results to state of the art methods. Note: some aspects of this deliverable are withheld at this time as they are pending review. Please contact the authors for a preview.

http://ieeexplore.ieee.org/iel2/4524/12820/00592460.pdf

Image Processing

When a molecule absorbs a photon of appropriate energy, a chain of photophysical events ensues, such as internal conversion or vibrational relaxation (loss of energy in the absence of light emission), fluorescence, intersystem crossing (from singlet state to a triplet state) and phosphorescence, as shown in the Jablonski diagram for organic molecules (Fig. 1). Each of the processes occurs with a certain probability, characterized by decay rate constants (k). It can be shown that the average length of time τ for the set of molecules to decay from one state to another is reciprocally proportional to the rate of decay: τ = 1/k. This average length of time is called the mean lifetime, or simply lifetime. It can also be shown that the lifetime of a photophysical process is the time required by a population of N electronically excited molecules to be reduced by a factor of e. Correspondingly, the fluorescence lifetime is the time required by a population of excited fluorophores to decrease exponentially to N/e via the loss of energy through fluorescence and other non-radiative processes. The lifetime of photophycal processes vary significantly from tens of femotoseconds for internal conversion1,2 to nanoseconds for fluorescence and microseconds or seconds for phosphorescence.1






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Figure 1


Jablonski diagram and a timescale of photophysical processes for organic molecules.

/pdf/fluorescence-lifetime-measurements-and-biological-imaging-xfalzh4w7e.pdf

Fluorescence Lifetime Measurements and Biological Imaging

The phenomenon of protein aggregation and amyloid formation has become the subject of rapidly increasing research activities across a wide range of scientific disciplines. Such activities have been stimulated by the association of amyloid deposition with a range of debilitating medical disorders, from Alzheimer's disease to type II diabetes, many of which are major threats to human health and welfare in the modern world. It has become clear, however, that the ability to form the amyloid state is more general than previously imagined, and that its study can provide unique insights into the nature of the functional forms of peptides and proteins, as well as understanding the means by which protein homeostasis can be maintained and protein metastasis avoided.

The amyloid state and its association with protein misfolding diseases

Achieving a spatial resolution that is not limited by the diffraction of light, recent developments of super-resolution fluorescence microscopy techniques allow the observation of many biological structures not resolvable in conventional fluorescence microscopy. New advances in these techniques now give them the ability to image three-dimensional (3D) structures, measure interactions by multicolor colocalization, and record dynamic processes in living cells at the nanometer scale. It is anticipated that super-resolution fluorescence microscopy will become a widely used tool for cell and tissue imaging to provide previously unobserved details of biological structures and processes.

/pdf/super-resolution-fluorescence-microscopy-v84c1ojckz.pdf

Super-Resolution Fluorescence Microscopy

https://groups.physics.ox.ac.uk/genemachines/group/SU_swFRET_NatMeth.pdf

Measuring Multiple Distances within a Single Molecule using Switchable FRET

Absolute fluorescence intensities are determined in the super-resolution microscopy been based on matching calculations, but then systematically too low, or by Aperturphotometrie, but then relatively large errors and slow speed. In addition, in the super-resolution microscopy, the axial location accuracy so far is relatively low. To solve the first problem, an integrated over a portion of a scattered intensity distribution of fluorescence intensity value is corrected from a first frame by means of an over the same image area integrated Untergrundintentisitatswerts from another frame in which the image area is free of fluorescence. To solve the second problem, the axial position can be determined by two such corrected fluorescence intensity values ​​from each of different portions of the reference intensity distribution. Super Resolution Microscopy

A method for determining a microscope and fluorescence intensity

Homogeneous illumination in single-molecule localization microscopy (SMLM) is key for the quantitative analysis of super-resolution images. Therefore, different approaches for flat-field illumination have been introduced as alternative to the conventional Gaussian illumination. Here, we introduce a single microelectromechanical systems (MEMS) mirror as a tuneable and cost-effective device for adapting wide-field illumination in SMLM. In flat-field mode the MEMS allowed for consistent SMLM metrics across the entire field of view. Employing single-molecule photoswitching, we developed a simple yet powerful routine to benchmark different illumination schemes on the basis of local emitter brightness and ON-state lifetime. Moreover, we propose that tuning the MEMS beyond optimal flat-field conditions enables to study the kinetics of photoswitchable fluorophores within a single acquisition.

/pdf/tuneable-wide-field-illumination-and-single-molecule-1nptdg7708.pdf

Tuneable wide-field illumination and single-molecule photoswitching with a single MEMS mirror

Among all powerful super-resolution fluorescence imaging methods single-molecule localization microscopy excels as it delivers virtually molecular resolution and thus direct information about the distribution of molecules in cells. When efficient labelling is ensured it can be even used to estimate absolute numbers of molecules. Thus, this microscopy method has the potential to provide fascinating insights into how biological functions, such as neuronal plasticity, memory, and behaviour are encoded at the molecular level.

Sebastian van de Linde

Papers

Measuring Multiple Distances within a Single Molecule using Switchable FRET

A method for determining a microscope and fluorescence intensity

Tuneable wide-field illumination and single-molecule photoswitching with a single MEMS mirror

Quantitatives imaging durch molekulare Auflösung

Data analysis for single-molecule localization microscopy