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#32455448   2020/05/26 To Up

[Teleophthalmology Using Whole Slide Imaging (WSI): Clinical-Pathological Correlation Even Without Own Histological Laboratory].

Telepathology has experienced enormous growth over the last two decades due to significant advances in IT and has led to the introduction of innovative solutions for digital imaging in ophthalmology. Whole Slide Imaging (WSI), where conventional glass slides are fully scanned, offers a wide range of applications, including remote (conciliary) diagnostics, second opinions, (remote) teaching and research and presentation. In addition to qualified and experienced personnel, a comparatively expensive basic equipment has so far also been an essential requirement. The focus ophthalmology at the Eye Centre in Freiburg is able to involve a de facto unlimited number of users and consulting partners (also overseas) in the digital microscopy of identical sections independent of location, device and time. This is done simply by using the internet. This procedure has proven to be very successful and opens up completely new avenues, not only for correct diagnosis (clinical-pathological correlation), but also for education and training. Preparation and distribution of further histological slides in addition to the scanned slide is not required for small specimens with scant material, for example, nor is it necessary to purchase microscopes for the participants if funds are lacking or the infrastructure is unsuitable. When dealing with transferring data, it is essential to comply with data protection regulations.
Claudia Auw-Hädrich, Andreas Jedynak, Thomas Reinhard, Constanze Döring, Stefan J Lang

1889 related Products with: [Teleophthalmology Using Whole Slide Imaging (WSI): Clinical-Pathological Correlation Even Without Own Histological Laboratory].

70 Slides 1 kit16 Arrays/Slide 10000 Slides 4 Arrays/Slide 1250 Slides

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#32454959   // To Up

Comparison of dual-dimensional and rectangular wires in terms of space closure and anchorage loss during retraction with miniimplants: A prospective clinical study.

In sliding mechanics, archwires should slide easily during the retraction of anteriors. Round wires slide well, but the torque control is a significant problem. Rectangular wires produce effective torque expression but pose a challenge to free sliding due to factors like friction and force used to overcome friction, etc. To utilize the properties of both wires, the wire should be bi-dimensional. Dual-dimensional wire is one such wire with different dimensions in the anterior and posterior sections. This study aimed to compare the amount of space closure and anchorage loss of molars between the rectangular and dual-dimensional wire groups during retraction with mini-implants. Forty patients were randomly allocated to two groups (n=20). Patients with rectangular wires formed the control group, and those with dual-dimensional wires formed the experimental group. Mini-implants and NiTi coil springs were used for retraction. Model and cephalometric analyses were carried out to calculate the amount of space closure and anchor loss, before and four months after the study. Statistical significance was set at P<0.05. The average amount of space closure was higher with DDW (3.98 mm) than rectangular wire (3.22 mm). The difference was statistically significant. No significant difference was found with anchorage loss. DDW can be used as an alternative to rectangular wires during retraction with mini-implants; however, it cannot replace the rectangular wires completely. Anchorage control was effective with both wires.
Sangeetha Morekonda Gnaneswar, Premkumar Sridhar

1692 related Products with: Comparison of dual-dimensional and rectangular wires in terms of space closure and anchorage loss during retraction with miniimplants: A prospective clinical study.

1 mg

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#32453938   2020/05/26 To Up

Fabrication of Robust and Transparent Slippery Coating with Hot Water Repellency, Anti-Fouling Property, and Corrosion Resistance.

Water-repellent coatings with low sliding angles for aqueous liquids are of great significance for practical applications. However, these coatings are susceptible to various types of damage during service and lose their effect. Herein, a robust and transparent slippery coating with extremely low water sliding angle was fabricated by covalently grafting poly(dimethylsiloxane) (PDMS) brushes in a crosslinked skeleton of epoxy resin. Polyamidoamine G5.0 with 128 NH2 end group was used as curing agent to induce the highly cross-linking of the coating and abundant of PDMS brushes being grafted into it. Due to low surface energy and high mobility of PDMS brushes, the obtained coating exhibited slippery performance for aqueous liquids (10 μL) with a sliding angle lower than 3º and a sliding speed as high as 1.16 mm/s. Even a 10 μL water droplet with temperature of 80 °C can slide off the coating at a low sliding angle (< 5º). The strong intermolecular interactions of epoxy crosslinked skeleton endowed the coating with excellent physical and chemical stability. The sliding angle of the coating had no obvious change after heating at 120 °C for 100 h and placing outdoors for 7 months. The slippery performance was not affected by thumb press, knife scratching, high-speed friction, and water of different pH values. Furthermore, due to the excellent stability, anti-fouling performance, and corrosion resistance, the slippery coating can be applied to a variety of substrates, which makes the robust slippery coating have real potential for practical applications.
Jin Yang, Jiayu Li, Xiaohua Jia, Yong Li, Haojie Song

2442 related Products with: Fabrication of Robust and Transparent Slippery Coating with Hot Water Repellency, Anti-Fouling Property, and Corrosion Resistance.

0.1 mg100.00 ul1 ml100ul1000 TESTS/0.65ml200 100ul1000 10 mg10 mg100 mg96 T

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#32453636   // To Up

Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data.

Tumor-infiltrating lymphocytes (TILs) and their spatial characterizations on whole-slide images (WSIs) of histopathology sections have become crucial in diagnosis, prognosis, and treatment response prediction for different cancers. However, fully automatic assessment of TILs on WSIs currently remains a great challenge because of the heterogeneity and large size of WSIs. We present an automatic pipeline based on a cascade-training U-net to generate high-resolution TIL maps on WSIs.
Zixiao Lu, Siwen Xu, Wei Shao, Yi Wu, Jie Zhang, Zhi Han, Qianjin Feng, Kun Huang

1196 related Products with: Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data.



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#32452840   2020/05/22 To Up

Whole Slide Imaging: Technology and Applications.

Pathology has benefited from advanced innovation with novel technology to implement a digital solution. Whole slide imaging is a disruptive technology where glass slides are scanned to produce digital images. There have been significant advances in whole slide scanning hardware and software that have allowed for ready access of whole slide images. The digital images, or whole slide images, can be viewed comparable to glass slides in a microscope, as digital files. Whole slide imaging has increased in adoption among pathologists, pathology departments, and scientists for clinical, educational, and research initiatives. Worldwide usage of whole slide imaging has grown significantly. Pathology regulatory organizations (ie, College of American Pathologists) have put forth guidelines for clinical validation, and the US Food and Drug Administration have also approved whole slide imaging for primary diagnosis. This article will review the digital pathology ecosystem and discuss clinical and nonclinical applications of its use.
Matthew G Hanna, Anil Parwani, Sahussapont Joseph Sirintrapun

2572 related Products with: Whole Slide Imaging: Technology and Applications.

70 Slides 1 kit16 Arrays/Slide 10000 Slides 2.5 mg 70 Slides 2 Slide minimum100ug16 Arrays/Slide 1250 Slides

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#32444784   2020/05/22 To Up

Kinesin-14 motors drive a right-handed helical motion of antiparallel microtubules around each other.

Within the mitotic spindle, kinesin motors cross-link and slide overlapping microtubules. Some of these motors exhibit off-axis power strokes, but their impact on motility and force generation in microtubule overlaps has not been investigated. Here, we develop and utilize a three-dimensional in vitro motility assay to explore kinesin-14, Ncd, driven sliding of cross-linked microtubules. We observe that free microtubules, sliding on suspended microtubules, not only rotate around their own axis but also move around the suspended microtubules with right-handed helical trajectories. Importantly, the associated torque is large enough to cause microtubule twisting and coiling. Further, our technique allows us to measure the in situ spatial extension of the motors between cross-linked microtubules to be about 20 nm. We argue that the capability of microtubule-crosslinking kinesins to cause helical motion of overlapping microtubules around each other allows for flexible filament organization, roadblock circumvention and torque generation in the mitotic spindle.
Aniruddha Mitra, Laura Meißner, Rojapriyadharshini Gandhimathi, Roman Renger, Felix Ruhnow, Stefan Diez

1145 related Products with: Kinesin-14 motors drive a right-handed helical motion of antiparallel microtubules around each other.

250 mg25 mg 5 G25 mg10 mg50 ug5 mg 10 MG0.3 mL100 µg5 g500 MG

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#32443169   2020/05/22 To Up

Flow irregularities from syringe infusion pumps caused by syringe stiction.

The current study aimed to evaluate the extent of the slide-stick phenomenon in differently designed infusion syringesat various infusion rates and filling positions.
Neris Peduzzi, Martin Batliner, Beate Grass, Philipp K Buehler, Marianne Schmid Daners, Mirko Meboldt, Markus Weiss

1202 related Products with: Flow irregularities from syringe infusion pumps caused by syringe stiction.

100Sterile Syringe Tips/U25x7ml7 mL100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized

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#32442672   2020/05/19 To Up

Deep-Hipo: Multi-scale Receptive Field Deep Learning for Histopathological Image Analysis.

Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-aided tissue examination using machine learning techniques, especially convolutional neural networks. A number of convolutional neural network-based methodologies have been proposed to accurately analyze histopathological images for cancer detection, risk prediction, and cancer subtype classification. Most existing methods have conducted patch-based examinations, due to the extremely large size of histopathological images. However, patches of a small window often do not contain sufficient information or patterns for the tasks of interest. It corresponds that pathologists also examine tissues at various magnification levels, while checking complex morphological patterns in a microscope. We propose a novel multi-task based deep learning model for HIstoPatholOgy (named Deep-Hipo) that takes multi-scale patches simultaneously for accurate histopathological image analysis. Deep-Hipo extracts two patches of the same size in both high and low magnification levels, and captures complex morphological patterns in both large and small receptive fields of a whole-slide image. Deep-Hipo has outperformed the current state-of-the-art deep learning methods. We assessed the proposed method in various types of whole-slide images of the stomach: well-differentiated, moderately-differentiated, and poorly-differentiated adenocarcinoma; poorly cohesive carcinoma, including signet-ring cell features; and normal gastric mucosa. The optimally trained model was also applied to histopathological images of The Cancer Genome Atlas (TCGA), Stomach Adenocarcinoma (TCGA-STAD) and TCGA Colon Adenocarcinoma (TCGA-COAD), which show similar pathological patterns with gastric carcinoma, and the experimental results were clinically verified by a pathologist. The source code of Deep-Hipo is publicly available at http://dataxlab.org/deep-hipo.
Sai Chandra Kosaraju, Jie Hao, Hyun Min Koh, Mingon Kang

1082 related Products with: Deep-Hipo: Multi-scale Receptive Field Deep Learning for Histopathological Image Analysis.

1 kit 15 ml 1 kit 120 ml 200 Tests 30 ml 1 kit1 kit 1000 ml 1 kit 500 ml

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