APEER Release APEER Release Notes | March 2019

APEER Release Notes | March 2019

Welcome to APEER’s march 2019 release. In the most recent sprints we concentrated on improving the user experience and stability. This release’s key highlights are Optimized Workflow Running Experience with Embedded Viewer OME-TIFF Standard for Reliable Compatibility of Modules Faster File Upload Improved Viewer supporting OME-TIFFs and Annotations

Image Processing New Contest: Create a Workflow, win an Image Processing Workstation

New Contest: Create a Workflow, win an Image Processing Workstation

From March 1st until June 30th ZEISS* is hosting an imaging contest on APEER  ZEISS is calling all microscopists, coding enthusiasts and software engineers in *Austria, Switzerland, Bulgaria, Croatia, Hungary, Romania, Serbia and Slovenia for their submission of a  coding project in image processing. Take your chance in the ZEISS Imaging contest to win an Image Processing …

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Image Processing Why major German research institute Fraunhofer trusts APEER

Why major German research institute Fraunhofer trusts APEER

Established in 1949,  Fraunhofer society is one of Germany’s biggest application-focused research institutes. One of Fraunhofer society’s main goals is excellence in research. At the Fraunhofer Institute for Microstructure of Materials and Systems, Professor Ralf Wehrspohn and his highly qualified team have an interesting research challenge. The quality of toothbrushes and toothpastes is the object. While …

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DevStory The APEER SDK Family

The APEER SDK Family

APEER SDKs for Python, Java and Matlab now available Peers! This is Thomas – one of the dedicated developers behind APEER. We have all been working hard for the past 18 months to get APEER up and running. Now that it’s live and you are using it we get a lot of feedback which features …

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Meet APEER APEER Advent: Explore APEER, win a Kindle Paperwhite, an Ipad mini 4 or a Surface Pro

APEER Advent: Explore APEER, win a Kindle Paperwhite, an Ipad mini 4 or a Surface Pro

December is a good time to have some fun.Each week we invite you to explore different functionalities of APEER. And because it’s christmas season we reward you for it. Participate in APEER Advent and win a Kindle Paperwhite, an Ipad mini 4 or a Surface Pro.*   FOR A CHANCE TO WIN A SURFACE PRO  Refer …

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Image Processing A magical formula for neuron segmentation?

A magical formula for neuron segmentation?

Making sense of your imaging data traditionally was and mostly still is a tedious process. One of the baselines of any neuroscientific research: Neuron Detection and Segmentation. Whether you are aiming to map brain structures in 3D, understand the wiring of different parts of the brain or understand the defects diseases like Alzheimer’s are causing …

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Meet APEER Neuroscience 2018: APEER Presents Machine Learning Workflow for Automatic Neuron Detection and Segmentation

Neuroscience 2018: APEER Presents Machine Learning Workflow for Automatic Neuron Detection and Segmentation

Experience the cloud based platform at Neuroscience, booth 2313 SAN DIEGO/USA, 2018-11-05. At the annual Society for Neuroscience meeting in San Diego team APEER showcases a machine learning workflow to automatically detect and segment neurons. Users can build an end-to-end workflow from image acquisition with their microscopes to reporting, by leveraging ZEN Software and APEER, …

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APEER Release APEER’s latest release: more sharing and collaboration for your image processing

APEER’s latest release: more sharing and collaboration for your image processing

We are excited to announce our latest release features. It is all about making your experience more convenient. In case you have further questions, be sure to check the APEER release notes thread on the forum. SHARE YOUR RESULTS WITH ANYONE Why not let your imaging specialist or work group partner check the latest results? Just …

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Meet APEER Deep Learning for Cancer Research: APEER at Hackathon

Deep Learning for Cancer Research: APEER at Hackathon

APEER at Hackathon next weekend APEER offers opportunity to train neural networks for cancer research at the Scion Hackathon in Karlsruhe Karlsruhe, Germany  Team APEER will be part of Scion, a three-day conference and hackathon focused on machine learning in medicine. Participants receive the rare chance to learn how deep learning approaches help in today’s cancer research. …

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Image Processing The Pains of Scientific Image Processing

The Pains of Scientific Image Processing

Like many of you, I want my work to make a positive contribution to the well being of society. I would like to make a difference in the lives of patients suffering from diseases like cancer, Alzheimer’s and diabetes –  all curable by understanding the core cellular processes. Unfortunately, many researchers waste their time trying …

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