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We present the results of the automated post-processing of Mueller microscopy images of skin tissue models with a new fast version of the algorithm of density-based spatial clustering of applications with noise (FastDBSCAN) and discuss the advantages of its implementation for digital histology of tissue. We demonstrate that using the FastDBSCAN algorithm, one can produce the diagnostic segmentation of high resolution images of tissue by several orders of magnitude faster and with high accuracy ( > 97 % ) compared to the original version of the algorithm.

Significance : Definitive diagnostics of many diseases is based on the histological analysis of thin tissue cuts with optical white light microscopy. Extra information on tissue structural properties obtained with polarized light would help the pathologist to improve the accuracy of his diagnosis. Aim: We report on using Mueller matrix microscopy data, logarithmic decomposition, and polarized Monte Carlo (MC) modeling for qualitative and quantitative analysis of thin tissue cuts to extract the information on tissue microstructure that is not available with a conventional white light microscopy. Approach: Unstained cuts of human skin equivalents were measured with a custom-built liquid-crystal-based Mueller microscope in transmission configuration. To interpret experimental data, we performed the simulations with a polarized MC algorithm for scattering anisotropic media. Several optical models of tissue (spherical scatterers within birefringent host medium, and combination of spherical and cylindrical scatterers within either isotropic or birefringent host medium) were tested. Results: A set of rotation invariants for the logarithmic decomposition of a Mueller matrix was derived to rule out the impact of sample orientation. These invariants were calculated for both simulated and measured Mueller matrices of the dermal layer of skin equivalents. We demonstrated that only the simulations with a model combining both spherical and cylindrical scatterers within birefringent host medium reproduced the experimental trends in optical properties of the dermal layer (linear retardance, linear dichroism, and anisotropic linear depolarization) with layer thickness. Conclusions: Our studies prove that Mueller polarimetry provides relevant information not only on a size of dominant scatterers (e.g., cell nuclei versus subwavelength organelles) but also on its shape (e.g., cells versus collagen fibers). The latter is directly related to the state of extracellular collagen matrix, which is often affected by early pathology. Hence, using polarimetric data can help to increase the accuracy of diagnosis.

Mueller transmission microscopy has been used for both theoretical and experimental studies of anisotropic scattering biological tissue. In our prior study, the linear dependence of retardance and quadratic dependence of depolarization on thickness was demonstrated for a dermal layer of skin model. During the primary analysis of polarimetric images of histological cuts both epidermal and dermal layers were delineated manually in order to calculate the spatially averaged values of retardance and depolarization parameters. Consequently, these average values contained the contribution of outliers (noise, not correctly identified pixels, etc.) which produces large standard deviation and biased mean values of the parameters mentioned above. For preventing the errors, the normalized maps of optical properties were calculated pixel-wise taking into account local optical density (e. i. logarithm of M11 element of Mueller matrix at each image pixel) to compensate varying tissue thickness across the cut area. Furthermore, the DBSCAN (Density-based spatial clustering of applications with noise) algorithm was applied for segmentation of microscopic images using the normalized values of retardance, depolarization, and intensity. From the results of image segmentation, we could discriminate the regions of dermal and epidermal layers in Muller microscopic images of skin cuts more accurately and obtain more reliable values of tissue’s optical properties.

Because of a rising use of in vitro models as an alternative to animal models, the precise assessment of tissue-specific parameters of such in vitro test systems has become a critical part of ensuring predictive results. Impedance spectroscopy as a noninvasive method serves as a reliable and efficient tool for quality control because it only minimally interferes with the system during investigation. In this study, we present a refined impedance measurement system using nanostructured titanium nitride (TiN) electrodes. This advanced material was used to investigate tissue maturation and changes in the barrier integrity of an intestinal Transwell-based in vitro model. The reduction of noise facilitated a more detailed data extraction and biological interpretation. Compared to standard stainless steel electrodes, at a typical measurement frequency of 12.5 Hz, the maximum electrode impact on the signal could be reduced from over 75% to less than 5%. This allowed the accurate determination of transepithelial electrical resistance values from Caco-2 in vitro tissue models without a further mathematical analysis based on a computer simulation. The novel design of a 3D-printed measurement attachment equipped with nanostructured TiN electrodes was used to continuously monitor the barrier integrity of the Caco-2 cells during a permeability assay. Moreover, because of low process temperatures, the TiN coatings for enhanced impedance measurement sensitivity could also be deposited onto several other materials, e.g., commercially available cell culture equipment such as standard disposable multiwell plate dishes. In conclusion, we developed a novel method to improve the electrode properties for impedance spectroscopy, which can be easily implemented into standardized end-point measurement to qualify a variety of in vitro test systems.

In vitro test systems gain increasing importance in preclinical studies to increase the predictivity and reduce animal testing. Of special interest herein are barrier tissues that guard into the human body. These barriers are formed by highly specialized tissues such as the skin, the airways, and the intestine. However, to recapitulate these tissues, researchers are currently restricted by a lack of suitable supporting scaffolds. In this study, we present biological scaffolds based on decellularized porcine gut segments that offer a natural environment for cell growth and differentiation. Employing these scaffolds, human barrier models of the skin, the airways, and the intestine that mimic the natural histological architecture of the respective tissue are generated. These models show tissue specific barrier properties, such as the stratification of the skin, the mucociliary phenotype of the airways, and polarization of the intestinal epithelium. To investigate the transport characteristics of the intestinal test system, we incubated the tissue models with fluorescein (Papp 7 x 106 cm/s), and rhodamin123 (ratio 2.45). The here presented biological scaffolds facilitate the in vitro generation of human barrier models that might represent useful tools for drug delivery studies.

Piston rings are vital components of any internal combustion engine, and their performance affect important properties such as frictional losses, oil consumption, and wear of parts. This thesis deals with the lubrication of piston rings from a theoretical point of view. Predictions are made using numerical models implemented as computer programs. The classical Reynolds equation can be used to calculate the pressure distribution in thin films of fluid. In relation to piston ring lubrication it is, however, less straight forward to apply the Reynolds equation since the inlet (and outlet) point of the lubricated conjunction is not known before hand. In order to overcome this problem, which is the main topic of this work, two different paths are followed. First an equation for the inlet point location is derived under the assumption of steady-state running conditions. Assuming that this limitation is fulfilled in a quasi-static sense a concrete example is analyzed using the Reynolds equation. Next a free surface 2D code based on the compressible Navier–Stokes equations is developed. The main idea is to model also the oil film outside the piston ring. Through time integration the movement of the inlet point on the piston ring can be calculated. While the model based on the Reynolds equation has a shortcoming with respect to the assumption of steady-state conditions, the model based on the Navier–Stokes equations turns out to be computationally expensive. Different remedies such as implicit time stepping or combination of the Navier–Stokes equations and the Reynolds equation are examined. The text includes detailed derivations of the models that have been used, and the numerical properties are assessed by convergence studies and comparison with benchmark problems.