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HigH-Content AnAlysis

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Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

High-<strong>Content</strong> Screening in 1536-Well Format<br />

10:45-10:50 Chairperson’s Opening Remarks<br />

Richik N. Ghosh, Ph.D., Director, Research & Applications, Thermo<br />

Scientific High <strong>Content</strong> Products<br />

10:50-11:15 Developing a High-Throughput High-<strong>Content</strong><br />

Infrastructure and the Impact of 1536-Well HCS on BMS<br />

Drug Discovery<br />

Debra Nickischer, Research Scientist II, Cellular Systems, Molecular<br />

Sciences and Candidate Optimization, Bristol-Myers Squibb<br />

There is a growing interest within the drug discovery industry to utilize<br />

more physiologically relevant cellular models in early hit-identification<br />

efforts, with the goal of identifying higher-quality drug candidates and<br />

enabling better prediction of liabilities. For high-throughput screening with<br />

large compound libraries, this translates to a need to enable sophisticated<br />

assay platforms such as high-content screening in a miniaturized, 1536-<br />

well microplate format. With focus on specific BMS programs, we will<br />

discuss considerations and challenges for developing high-throughput HCS<br />

capabilities and will outline innovative approaches to analyze and interpret<br />

the large volumes of content-rich data this platform provides.<br />

11:15-11:40 A Miniaturized 1536-Well HCS Pipeline to Identify<br />

Small Chemical Compounds Improving Muscle Function<br />

Enrico Schmidt, Ph.D., Lab Head and Investigator III, Center for<br />

Proteomic Chemistry, Integrated Lead Finding 1, Novartis Pharma AG<br />

11:40-11:55 New CCD Camera Technology for Sponsored by<br />

High-<strong>Content</strong> Screening<br />

Audra Ziegenfuss, Technical Product Manager, Thermo<br />

Scientific High <strong>Content</strong> Products<br />

As camera technology advances, higher sensitivity and better resolution<br />

are the results. We will be discussing a new CCD camera used in highcontent<br />

analysis and comparing it to current technologies being used in<br />

the high-content space.<br />

Sponsored by<br />

11:55-12:10 pm Enabling High-Throughput HCS<br />

with the Cell Insight<br />

Debra Nickischer, Research Scientist II, Cellular Systems,<br />

Molecular Sciences and Candidate Optimization, Bristol-Myers Squibb<br />

We will discuss how BMS is utilizing the Thermo Scientific CellInsight HCS<br />

Platform in Lead Discovery. We will describe our automation configurations<br />

with the Thermo Scientific Orbitor plate handlers; how the CellInsights<br />

have enabled our high-throughput, high-content screens; and the impact<br />

on BMS drug discovery.<br />

12:10- 12:25 New Developments in High<br />

Sponsored by<br />

<strong>Content</strong> Imaging Systems for Faster and<br />

More Efficient Screening<br />

HaiGuang Zhang, Ph.D., Senior Application<br />

Consultant, GE Healthcare<br />

Rapid acquisition without compromising on image quality is essential<br />

for successful high content screening, particularly in high well-density<br />

formats. GE Healthcare is continuing to push the boundaries of<br />

HCS by incorporating the latest advances in hardware and software<br />

technologies for optical imaging. We will discuss new components and<br />

features of the IN Cell Analyzer systems that are enabling more rapid,<br />

robust and efficient hit identification and assessment.<br />

12:25-12:40 Sponsored Presentation<br />

(Opportunity available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

12:40-1:45 Enjoy Lunch on Your Own<br />

High-<strong>Content</strong> Image and Data Analysis<br />

10:45-10:50 Chairperson’s Opening Remarks<br />

10:50-11:15 Flat Field Correction and Multi-Parametric<br />

Regression Models for High-<strong>Content</strong> Analysis<br />

Peter Horvath, Ph.D., Data Analysis Specialist, Light Microscopy and<br />

Screening Center, ETH Zurich<br />

11:15-11:40 <strong>Content</strong>-Based Searching of Bioimage Databases<br />

Robert F. Murphy, Ph.D., Professor, Computational Biology and<br />

Biological Sciences, Biomedical Engineering and Machine Learning;<br />

Director, Ray and Stephanie Lane Center for Computational Biology,<br />

Carnegie Mellon University<br />

We have developed OMERO.searcher as the first of a series of open source<br />

tools that can augment the capabilities of a bioimage database system such<br />

as OMERO. OMERO.searcher Server can be installed on top of an OMERO<br />

database to allow both internal and external users to perform image content<br />

searches. These searches can be done to find images similar to a selected<br />

image (or images) already in the database, or using images on a user’s own<br />

computer. External users can also use OMERO.searcher Local Client to<br />

search one or more remote databases using similarity to local images, and<br />

searching of databases that use systems other than OMERO can also be<br />

easily enabled. I will discuss our experience with adapting other advanced<br />

image analysis tools for use with OMERO databases.<br />

11:40-12:05 pm Making an Individual Cell’s Voice Heard: The<br />

Beauty of High-<strong>Content</strong> Screening<br />

Tiao Xie, Ph.D., Leader, Image and Data Analysis Core (IDAC), Harvard<br />

Medical School<br />

A wide spectrum of image analysis tools/approaches have been utilized<br />

at IDAC to quantify the image datasets from the diverse image-based<br />

screening assays. The recent development of commercial image analysis<br />

packages has enabled us to robustly analyze data generated from the more<br />

traditional image-based assays such as cell viability, mitotic index and protein<br />

expression/translocation assays. However, some assays that target very<br />

specific morphological changes of whole cells or sub-cellular structures<br />

require more customized analysis solutions to extract specific information<br />

from the images. Moreover, the massive scale of image datasets generated<br />

from high-throughput screens also call for integrated data management<br />

approaches, including image storage, sharing, visualization, analysis and<br />

secondary data handling. Several successful stories will be presented to<br />

demonstrate our high-content screening capacity at Harvard, from image<br />

acquisition/storage, to high-content analysis and data visualization.<br />

12:05-12:20 Complex Challenges in the Field Sponsored by<br />

of Cellular Level Research Require NEW Paths<br />

in Your Road to Discovery<br />

Robert Graves, Ph.D., Senior Application Specialist, GE<br />

Healthcare<br />

For today’s highly automated systems for image acquisition requires insight<br />

into cells and intracellular components. The tools you need for everyday<br />

assays are complex, unique applications requires a comprehensive<br />

package of image analysis tools for a broad range of imaging experiments.<br />

Come and learn about our highly adaptive software configured for a range<br />

of skills and experience to meet your challenges in the modern lab.<br />

12:20-12:35 Sponsored Presentation<br />

(Opportunity available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

12:35-1:45 Enjoy Lunch on Your Own<br />

4 | High-<strong>Content</strong> Analysis High<strong>Content</strong>Analysis.com

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