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Using deep learning to better understand blood disorders

AI-based methods for classifying individual blood cells

For a long time, doctors have been diagnosing disorders of the body’s hematopoietic system using a light microscope. The analysis of individual blood cells is largely performed manually. Now, artificial intelligence can lend them a digital hand.

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Chlorogenic acids in coffee

Analytics and multivariate data analysis of coffee phenols

Chlorogenic acids (CGAs) are, by definition, esters formed from hydroxycinnamic acids and quinic acid. As such, they are produced by almost all plant species as secondary metabolites. In our diet, we take up substantial amounts of this class of compounds – around 1 g per day, in extreme cases ...

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3D tissue models with immune competence

Immune-responsive human tissue models for the development of immunomodulatory drugs

Innate immunity is a central component of the human immune defense. Pattern recognition receptors (PRRs), such as the toll-like receptors (TLRs), play a key role in this system. They are omnipresent in nature and found in plants, insects, vertebrates and human beings.

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A fast route to automated powerful data

Deep learning and convolutional neural networks in microscopy

The advent of accessible, easy-to-use high-content screening systems has brought many benefits to life science. However, this increased access to large amounts of images also brings challenges, for example relating to data processing, statistical analysis and automation. Addressing these ...

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Securing data jewels within the data lake

Data governance as a strategy for value-added data and digitalization in the laboratory

In the field of data analytics and machine learning, data quality and the “right” data architectures are the key to success. Data governance enables organizations to establish important elements and processes for generating value-added information from data.

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Customized ligands pave the way for new reaction pathways

A catalyst with high selectivity for converting organolithium compounds

For the first time, an efficient catalyst for palladium-catalyzed C–C bonding between aryl chlorides and alkyl lithium compounds has been found. This reaction enables simpler synthesis routes for important products, such as pharmaceuticals, while avoiding much salt waste.

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Synthetic receptors for viruses

Surface-imprinted hybrid materials for the selective detection of viruses

Thanks to technological advances in polymer chemistry and nanotechnology, it is now possible to synthetically produce nanomaterials with a wide range of properties and functionalities. This has paved the way for producing bio-inspired structures and systems which, for example, possess binding ...

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The traceability of measurement results

Metrological traceability: central concept of metrology and requirement of accreditation standards worldwide

Metrological traceability is necessary for consistent, comparable and valid measurement values. As a fundamental concept of modern-day metrology, it allows measurement results to be internationally recognized and is required by norms and accreditation standards all over the world. The ...

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On the way to the cyber-physical lab

Requirements for smart laboratory instruments and interconnected systems in the modular lab of the future

Laboratories tend to be central hubs for chemical, biotechnological, pharmaceutical or foodstuff production. They play a key role in research and development, chemical analysis, quality assurance, maintenance and process control.

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How gold plasma can make hidden structures visible

Chryso-CT adds contrast to surfaces in X-ray computed tomography

In recent years, microcomputed tomography (μCT) has become a standard method in many medical, scientific and industrial fields. This non-invasive technique enables three-dimensional imaging of a wide variety of structures. However, a new combination of methods now makes it possible to visualize ...

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