Analysis of Microscopic Images: New Open-Source Software Makes AI Models Lighter & Greener

No special knowledge required

26-Jan-2024 - Artificial intelligence (AI) has become an indispensable component in the analysis of microscopic data. However, while AI models are becoming better and more complex, the computing power and associated energy consumption are also increasing. Researchers at the Leibniz-Institut für Analytische ...

Machine learning boosts search for new materials

Scientists have developed deep-learning models that can sift through the massive amounts of data generated by X-ray diffraction techniques

29-Dec-2023 - Scientists from theUniversity of Rochestersay deep learning can supercharge a technique that is already the gold standard for characterizing new materials. In annpj Computational Materialspaper, the interdisciplinary team describes models they developed to better leverage the massive amounts ...

Interpreting Large-Scale Medical Datasets

ScPoli Enables Multi-Scale Representations of Cells and Samples

10-Oct-2023 - The increasing amount of data recorded in medical research can only lead to scientific breakthroughs and essential therapies for patients if interpreted and analyzed correctly. Computer scientists at Helmholtz Munich developed a generative model named scPoli (single-cell population level ...

Quantitative analysis of cell organelles with artificial intelligence

The analysis of cryo-X-Ray-microscopy data still requires a lot of time: AI now identifies structures at high accuracy within a few minutes

21-Jul-2023 - BESSY II's high-brilliance X-rays can be used to produce microscopic images with spatial resolution down to a few tens of nanometres. Whole cell volumes can be examined without the need for complex sample preparation as in electron microscopy. Under the X-ray microscope, the tiny cell organelles ...

AI analyses cell movement under the microscope

New method could be very helpful for developing more effective cancer medications

17-Feb-2023 - The enormous amount of data obtained by filming biological processes using a microscope has previously been an obstacle for analyses. Using artificial intelligence (AI), researchers at the University of Gothenburg can now follow cell movement across time and space. The method could be very ...

New software based on Artificial Intelligence helps to interpret complex data

Smart compression of noisy data

22-Dec-2022 - Experimental data is often not only highly dimensional, but also noisy and full of artefacts. This makes it difficult to interpret the data. Now a team at HZB has designed software that uses self-learning neural networks to compress the data in a smart way and reconstruct a low-noise version in ...

A major advance in single-cell RNA data analysis

Researchers have developed a computational tool that can carry out accurate comparative analysis of complex single-cell sequencing datasets

25-Oct-2022 - New developments in high-throughput biological studies mean that the genes that are active in just a single cell can now be determined. However, analyzing the complex datasets that result can be challenging. Now, a team at Osaka University has developed CAPITAL, a new computational tool for ...

Neutrinos are lighter than 0.8 electron volts

KATRIN experiment with new world record for precision measurements

16-Feb-2022 - The international KArlsruhe TRItium Neutrino Experiment (KATRIN), located at Karlsruhe Institute of Technology (KIT), has broken an important "barrier" in neutrino physics which is relevant for both particle physics and cosmology. Based on data published in the prestigious journal Nature Physics, ...

Predicting cell fates

Researchers develop AI solutions for next-gen medical research

03-Feb-2022 - Data is not only the answer to numerous questions in the business world; the same applies to biomedical research. In order to develop new therapies or prevention strategies for diseases, scientists need more and better data, faster and faster. However, the quality is often very variable and the ...

Method improves accuracy of imaging systems

09-Feb-2017 - New research provides scientists looking at single molecules or into deep space a more accurate way to analyze imaging data captured by microscopes, telescopes and other devices. The improved method for determining the position of objects captured by imaging systems is the result of new research ...