Navigation Links
Genedata Trailblazing Automation of Image Analysis for High Content Screening with Early Access to Deep Learning

Genedata, a leading provider of advanced software solutions for R&D, today launched its Early Access Program to Deep Learning for High Content Screening (HCS) image analysis. The proprietary and trailblazing software will enable pharmaceutical R&D organizations to reduce the time it takes – by more than half – to accurately classify HCS images and detect new phenotypes. Developed over the last few years in close collaboration with leading academic institutions and pharmaceutical R&D organizations, the deep learning technology uses convolutional neural networks (CNNs) to automatically analyze microscopy images in high throughput. Simplifying image analysis workflows, the solution significantly accelerates image analysis, provides high-quality classification results, broadens HCS applications, and enables the discovery of new phenotypes that are difficult to detect with classical analysis approaches. With the Early Access Program, Genedata provides the opportunity to experience how deep learning can be applied to a company’s HCS, and explore its cost- and time-saving benefits.

Deep Learning Reduces HCS Image Analysis Time from Months to Days
Using a variety of real-world HCS datasets and input from its industry partners, Genedata has developed and fine-tuned its deep learning-based classification technology. Findings have been extremely positive with regards to the quality of results and total analysis time. In recent case studies, deep learning allowed for a quick and unbiased exploration of the phenotypic space and easily captured complex phenotypes. Deep learning expert Dr. Oliver Dürr from the Zurich University of applied sciences confirms, “With deep learning-based CNNs, we have been able to reduce the classification time by a large margin compared to classical methods while obtaining results quality equal to human experts.”

Genedata focuses on streamlining and accelerating image analysis. Historically, the HCS image analysis setup was a manual and time-consuming process, which often took several months for elaborate phenotypic screens. The Genedata solution accelerates this laborious and protracted process - even for complex screens. The innovative Genedata approach also eliminates the need to adjust analysis protocols and settings, a typically costly process. Unlike classical image analysis, which is usually based on a priori phenotypic knowledge, the Genedata deep learning solution offers unbiased image analysis as the implemented algorithm only searches on what separates images from each other – enabling the discovery of new phenotypes.

Using the Genedata deep learning solution for HCS image analysis creates new research efficiencies that:

  • Shorten Projects by replacing classical image analysis development with a simpler workflow, which also shortens image analysis runtime.
  • Enable New Phenotypic Assays by detecting unexpected phenotypes without months of fine-tuning the analysis.
  • Scale Up HCS to empower scientists, not trained to develop classical image analysis protocols, to independently perform HCS; reduces image analysis development time; increases throughput; and lowers costs.

“Genedata is revolutionizing HCS image analysis with deep learning technology,” says Dr. Othmar Pfannes, CEO of Genedata. “The Early Access Program gives interested partners a cost-effective way to experience the immense value of deep learning and become early adopters of the technology. We are committed to further development of practical deep learning applications in life sciences through our valued industry collaborations.”

Early Access Program
The Early Access Program to Deep Learning is core to the Genedata Screener® solution portfolio. The program is open to Genedata customers and industry and academia partners. For more information on the Genedata deep learning technology for HCS image analysis, follow this deep learning link or email your inquiries to deep-learning(at)

Editorial Note
Genedata, among the many industry thought leaders advancing the science of deep learning as it applies to HCS, will be presenting at the following conferences.

SBI2 – San Diego, CA – September 13-15
Booth #1
Presentation: “A Comprehensive Workflow Enables the Practical Use of Deep Learning for Pharma-relevant Research Applications”
Poster: “A Deep Learning Workflow for Quickly Establishing and Performing Image Analysis in Phenotypic Assays”

SLAS HCS – Madrid, Spain – September 19-20
Booth #5
Presentation: “Deep Learning for HCS: A Production Workflow for CNN-based Image Analysis”
Poster: “An Innovative Workflow for Practical Use of Deep Learning in Image-based Research”

ELRIG Drug Discovery – Liverpool, UK – October 3-4
Booth #B3

About Genedata
Genedata transforms data into intelligence with innovative software solutions and domain-specific consulting services that automate complex, large-scale experimental processes and enable organizations to maximize the ROI from their R&D. Founded in 1997, Genedata is headquartered in Switzerland and has offices in Germany, the UK, Japan, and the US.
Follow Genedata on LinkedIn

The statements in this press release that relate to future plans, events or performance are forward-looking statements that involve risks and uncertainties, including risks associated with uncertainties related to contract cancellations, developing risks, competitive factors, uncertainties pertaining to customer orders, demand for products and services, development of markets for the Company's products and services. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. The Company undertakes no obligation to release publicly the result of any revisions to these forward-looking statements that may be made to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events.

All product and service names mentioned are the trademarks of their respective companies.

Read the full story at

Source: PRWeb
Copyright©2017 Vocus, Inc.
All rights reserved

Related biology technology :

1. Genedata Enables Research to Improve Personalized Treatment of Breast and Ovarian Cancer
2. Genedata Screener 11 with Compound Combination Screening and Collaboration in the Cloud Announced at Bio-IT World 2013
3. Genedata Biologics for Biopharma R&D at Ninth Annual PEGS
4. AB Enzymes Chooses Genedata Selector for Production Strain Development and Optimization
5. New Genedata Expressionist for Mass Spectrometry Showcases at 2013 ASMS
6. Genedata at ESACT Announces Expansion Into Biopharma Process Development
7. Genedata Screener Extends Support for High-Throughput Thermofluor Assays
8. Genedata Screener Global User Group Meetings Will Examine Advancements in Plate-based Screening
9. Evonik and Genedata Broaden Their Collaboration with the Genedata Selector Biotechnology Data Management Platform
10. Sanofi Adopts Genedata Biologics for Integrated Biopharma R&D Process Support
11. Biogas Consortium Using Genedata Selector for Metagenomics-based Process Optimization
Post Your Comments:
(Date:10/10/2017)... ... October 10, 2017 , ... ... FirstHand program has won a US2020 STEM Mentoring Award. Representatives of the FirstHand ... Excellence in Volunteer Experience from US2020. , US2020’s mission is to change the ...
(Date:10/10/2017)... ... October 10, 2017 , ... USDM ... firm for the life sciences and healthcare industries, announces a presentation by Subbu ... , The presentation, “Automating GxP Validation for Agile Cloud Platforms,” will present a ...
(Date:10/9/2017)... ... October 09, 2017 , ... At its national board meeting in North Carolina, ... Harvard University’s Departments of Physics and Astronomy, has been selected for membership in ... team for the 2015 Breakthrough Prize in Fundamental physics for the discovery of the ...
(Date:10/7/2017)... ... October 06, 2017 , ... ... technologies, launched its ProxiMeta™ Hi-C metagenome deconvolution product, featuring the first commercially ... cloud-based bioinformatics software to perform Hi-C metagenome deconvolution using their own facilities, ...
Breaking Biology Technology:
(Date:4/24/2017)... , April 24, 2017 ... and partner with  Identity Strategy Partners, LLP (IdSP) ... "With or without President Trump,s March 6, 2017 ... Terrorist Entry , refugee vetting can be instilled with ... resettlement. (Right now, all refugee applications are suspended ...
(Date:4/17/2017)... 17, 2017 NXT-ID, Inc. (NASDAQ: NXTD ... filing of its 2016 Annual Report on Form 10-K on Thursday ... ... available in the Investor Relations section of the Company,s website at ... website at . 2016 Year Highlights: ...
(Date:4/11/2017)... , April 11, 2017 Crossmatch®, a ... authentication solutions, today announced that it has been ... Research Projects Activity (IARPA) to develop next-generation Presentation ... "Innovation has been a driving force ... program will allow us to innovate and develop ...
Breaking Biology News(10 mins):