Services Offered

The High-Content Screening unit provides access to cutting edge high-throughput imaging equipment, as well as powerful automated image and data analysis tools. This unit is a natural end point for automated assays including large-scale RNAi/chemical screens. Our expertise in high-throughput imaging and high-content analysis ensures the most efficient and robust screen design. The available microscopes enable high-speed automated imaging of multi-well plates and regular microscopy slides at either low or high resolution. Combined with advanced image analysis tools, this allows for the development of a wide range of standard and easily customized applications applicable to multiple areas of biomedical research. We provide full service for customer's high-content screening including (1) high-throughput image acquisition, (2) customized image analysis routine, as well as (3) data analysis and visualization. We also offer each of these services individually.

I. High-Throughput Imaging

Image acquisition can be performed on either a Celígo Cytometer (Nexcelom Bioscience) or an IN Cell Analyzer 6000 (GE Healthcare).

Celígo Cytometer (Nexcelom Bioscience)

This instrument is ideal for up to 4-channel imaging of multi-well plates at low-resolution. Proprietary F-theta lens, installed on the cytometer provides great image flatness and contrast. Bright LED light-sources enable label-free brightfield imaging as well as acquisition of blue, green and red fluorophores.

IN Cell Analyzer 6000 (GE Healthcare)

The IN Cell is a high-end, laser-based, line-scanning confocal imaging platform. It utilizes a novel and proprietary optical engine to achieve both wide field and confocal imaging capabilities in one system. The Iris-like variable aperture and next-generation scientific CMOS camera (2048x2048) enable high quality imaging at at a high speed. This instrument is designed for high-throughput imaging (up to 5 channels and multiple z-sections) and assay development. It can be used for live cell and endpoint assays as well as 3D imaging, co-localization studies and low signal assays. Our facility has two IN Cell Analyzer 6000 microscopes, equipped with 4x, 10x, 20x and 60x objectives. One of the microscopes is attached to a robotic platform to automate imaging of multiple plates.

II. High-content analysis

We have several tools for automated image analysis. They include ones which can be used without extensive training to create simple analysis algorithms (Celígo analysis and Columbus), as well as software for generation of highly-customized algorithms.

Celígo analysis (Nexcelom Bioscience)

This built-in image analysis tool allows on-the-fly analysis of acquired images. Recommended applications include label-free cell growth tracking, cell cycle analysis, cell viability and apoptosis, transfection optimization, multiplex fluorescent expression assays and many others. Once image acquisition is complete, data can be re-analyzed at an offline workstation.

Columbus (PerkinElmer)

Columbus is a universal image data storage and analysis system that enables access to stored images via a standard internet browser. The Columbus system allows scientists to remotely access, view, annotate and analyze images. Columbus is based on an OMERO server and therefore supports a variety of existing microscope file formats. Integrated image analysis tools are intuitive and efficient. A high-performance computing server enables hyper-threading of image analysis. PhenoLOGIC™ machine learning technology provides an easy way to classify cells or subcellular regions within a given data-set.

Acapella (PerkinElmer)

Acapella is a powerful tool for image analysis. It has a set of proprietary scripts for detection of typical cell shapes and sub-cellular organelles. This is combined with a versatile programming environment to create customized algorithms for a variety of biological applications.

Matlab (Mathworks)

Matlab is the most powerful application for advanced analysis of the images. Flexible image and data handling allows highly specialized routines for image analysis, including complex image filtering and segmentation. Costing for this analysis will be determined based on the complexity of the analysis.