ImageXpress Confocal HT.ai High-Content Imaging System
A scalable, high-throughput, high-content screening solution with 7-channel high-intensity laser light source and machine learning capabilities
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Great
HCS
Very good instrument with high quality images
Review Date: 28 Feb 2023 | Molecular Devices®
Capture large 3D organoid and spheroid images with up to double the speed
The ImageXpress® Confocal HT.ai High-Content Imaging System utilizes a seven-channel laser light source with eight imaging channels to enable highly multiplexed assays while maintaining high throughput by using shortened exposure times. Water immersion objectives improve image resolution and minimize aberrations so scientists can see deeper into thick samples.
The powerful combination of MetaXpress® software and IN Carta™ software simplifies workflows for advanced phenotypic classification and 3D image analysis with machine learning capabilities and an intuitive user interface.
Enable greater assay flexibility
Eight imaging channels with laser excitation enable more assay flexibility, higher image brightness, and flexibility to use targeted imaging such as QuickID. Automated Water Immersion objectives offer greater numerical aperture and matched refractive index between the sample and the immersion media for enhanced resolution and decreased aberrations.
Increase throughput with higher quality images
Higher excitation power provides increased signal, shorter exposure times, and faster acquisitions of 3D samples. Micro-lens enhanced spinning disk confocal provides a flat field of view for more accurate and reproducible image analysis. Shorter exposure times generates up to a two-fold boost in scan speed. FRET experiments using lasers for CFP and YFP expand research.
Accelerate analysis speeds
IN Carta Image Analysis Software performs complex segmentation and classification. Phenoglyphs provides a robust trainable classification, and SINAP provides trainable segmentation for any image type. Accelerate analysis speeds by 40X with multi-threaded, parallel processing with MetaXpress® PowerCore Software. Reduces time from hours to minutes, eliminating 3D analysis as a bottleneck.
Automated monitoring of development and activity analysis of iPSC-derived 3D cerebral organoids
In this application note, Molecular Devices describes a method for semi-automated culturing and monitoring of cerebral organoids, as well as the testing of functional neuronal activity by means of recording Ca2+ oscillations.
Automation and high content imaging of 3D triple-negative breast cancer patient-derived tumoroids assay for compound screening
This application note describes methods and demonstrates tools that increase throughput and automation in 3D cancer assays and compound screening. In addition, it shows advanced analysis approaches and descriptors that allow scientists to gain more information about complex cellular systems, disease phenotypes, and compound effects.
Organoids: Overcome the challenges of high-throughput 3D imaging and analysis
Three-dimensional (3D) organoid models are becoming increasingly popular in drug discovery and are believed to better represent in vivo biology than traditional 2D cell models. While the complexity of these models can be a hurdle for wider use in drug development, innovative technologies are now breaking down these barriers.
In this eBook, delve into some of the current applications of organoids spanning the fields of cancer research, neurobiology, and drug discovery and discover solutions that can help you overcome common challenges associated with the use of organoids.
Download your free copy to learn more about:
- Successful automation of organoid culturing and screening
- Using lung organoids for in vitro assessments of toxicity
- AI-powered software analysis and segmentation of intestinal organoids
- High-throughput modeling of inflammatory bowel disease
- Culturing and monitoring of cerebral organoids
- High-content imaging of tumoroids for cancer research
Image-based phenotypic profiling using Cell Painting in a 3D breast cancer spheroid model
In this application note, Molecular Devices provides experimental data on image-based phenotypic profiling using Cell Painting in a 3D breast cancer spheroid model. Image-based phenotypic profiling, such as with the Cell Painting assay, is increasingly used in many applications to quantitatively capture a broad range of phenotypic changes in response to compound-induced or genetic perturbations.
A screen was performed using patient-derived 3D spheroids (tumoroids). In addition to readouts on cell viability, Molecular Devices also adapted the Cell Painting assay for the 3D tumor model. Tumoroids were formed from primary cells isolated from a patient-derived tumor explant, TU-BcX-4IC, that represents metaplastic breast cancer with a triple-negative breast cancer subtype. Tumoroids were treated with 168 compounds from the NIH library of approved oncology drugs and Cell Painting was used to evaluate the associated phenotypic changes. Additionally, a single-feature readout was performed from an image-based viability assay in parallel for comparison. Download this free application note to discover the results and implications of these analyses from Molecular Devices.
Increase Cell Painting assay throughput using an automated workstation
In this application note, Molecular Devices and Beckman Coulter Life Sciences developed an automated workflow to prepare cell painting assay plates. Together, the data presented here highlights how the use of an automated workflow combining Biomek liquid handling with ImageXpress imaging can be used for morphological profiling, with the added benefits of reduced hands-on time and user handling errors with increased assay throughput.
Organoids for disease modeling and in vitro drug screening: Automated culture monitoring, imaging, and analysis of complex biological systems
In this application note, Molecular Devices presents a workflow that demonstrates the usefulness of automation and advanced high-content imaging for increased throughput and information in organoid assays, critical for compound screening.
3D image analysis and characterization of angiogenesis in organ-on-a-chip model
This application note describes the imaging and analysis methods for obtaining multiple quantitative descriptors of angiogenesis that could be used for comparative research into disease phenotypes and compound effects.
Deep learning-based image analysis for label-free monitoring of iPSC and 3D organoid cultures
In this application note, artificial intelligence tools for image segmentation (SINAP) and object classification (phenoglyphs) were used to automate the image analyses of iPSC colonies, organoids, and spheroids. The application note shows how deep learning-based SINAP enables robust detection of complex objects of interest (e.g. stem cell colonies or organoids) with minimal human intervention.
Introducing the Organoid Innovation Center
Watch as Kayla Hill, Field Applications Specialist at Molecular Devices, talks about the high-content screening platforms at the Organoid Innovation Center, outlining the key benefits of how the Center is designed to address challenges in integrating workflows.
3D cell culture: The technology driving advancement and innovation
Meet the 3D cell culture technology that is breaking boundaries in cancer research, drug discovery, and beyond
