CellPathfinder, High-Content Analysis Software

PhenoVista Biosciences is the leading provider of custom, imaging-based, phenotypic assay services. With a collaborative and scientifically driven project design and management approach, PhenoVista has a proven track record of delivering high-quality data from robust and scalable assays. PhenoVista’s key advantage lies in the ability of their industry-trained scientists to combine world-class understanding of diverse biological systems with cutting-edge quantitative imaging to deliver clear, actionable output data.

Applications: Colony Formation, Scratch Wound, Cytotoxicity, Neurite Outgrowth, Co-culture Analysis, Cell Tracking

Cell stage categorized using FucciTime lapse imaging of Fucci-added Hela cells was conducted over 48 hrs at 1 hr intervals. Gating was performed based on the mean intensities of 488 nm and 561 nm for each cell. They were categorized into four stages, and the cell count for each was calculated.

Fluorescent ubiquitination-based cell cycle indicator (Fucci) is a set of fluorescent probes which enables the visualization of cell cycle progression in living cells.

In this tutorial, we will learn how to perform cell tracking with CellPathfinder through the analysis of test images.

In this tutorial, a method for analyzing ramified structure, using CellPathfinder, for the analysis of the vascular endothelial cell angiogenesis function will be explained.

In this tutorial, we will learn how to perform time-lapse analysis of objects with little movement using CellPathfinder, through calcium imaging of iPS cell-derived cardiomyocytes.

In this tutorial, we will observe the change in number and length of neurites due to nerve growth factor (NGF) stimulation in PC12 cells.

In this tutorial, image analysis of collapsing stress fibers will be performed, and concentration-dependence curves will be drawn for quantitative evaluation.

In this tutorial, we will identify the cell cycles G1-phase, G2/M-phase, etc. using the intranuclear DNA content.

In this tutorial, spheroid diameter and cell (nuclei) count within the spheroid will be analyzed.

In this tutorial, a method for analyzing ramified structure, using CellPathfinder, for the analysis of the vascular endothelial cell angiogenesis function will be explained.

In this tutorial, using images of zebrafish whose blood vessels are labeled with EGFP, tiling of the images and recognition of blood vessels within an arbitrary region will be explained.

In this tutorial, intranuclear and intracytoplasmic NFκB will be measured and their ratios calculated, and a dose-response curve will be created.

Yokogawa's CQ1 open platform integrates seamlessly with Advanced Solutions BioAssemblyBot® 400. With laboratory automation becoming a standard in research, Yokogawa's high content confocal system's ability to work with robots like Advanced Solutions' BioAssemblyBot® 400 is essential to advancing laboratory automation.

Generating translatable high-content imaging data from physiologically-relevant cell models, including 2D and 3D structures, is extremely valuable for drug discovery and pre-clinical research. In this webinar, James Evans, CEO of PhenoVista Biosciences presents case studies on how Yokogawa’s Benchtop CQ1 Confocal System can improve throughput and standardize processes for complex 3D cell-based phenotypic assays.

Key learning objectives:

• Strategies for designing and implementing high-content screening assays
• Approaches for deciding between 2D and 3D model systems

Are you looking to improve laboratory workflows, data management, and imaging analysis?

This webinar covers the integration of a high-content imager into a modern laboratory automation system and workflows built to utilize it. This on-demand webinar describes the integration topology used in the High Throughput Bioscience Center at St. Jude and the technical challenges that emerged pertaining to data handling and analysis. The webinar addresses the variety of ways we have used our high-content imager in the context of a high throughput screening center, using examples of experiment workflows from recent users.

Key Topics:

• Body Copy:
  • Key considerations for integrating a high-content imager into a laboratory robot system
  • Methods for interfacing between robots and the imager
  • Important considerations for imaging data management and analysis
  • How the St. Jude High Throughput Bioscience Center supports the diverse imaging needs of its projects

3D imaging experts from Yokogawa and Insphero have come together to provide helpful tips and tricks on acquiring the best 3D spheroid and organoid imaging. This webinar focuses on sample preparation, imaging, and analysis for both fixed and live cells in High Content Screening assays. The experts also discuss automated tools that can help researchers understand the large volume of data in these High Content Imaging Analysis Systems.

Physiologically relevant 3D cell models are being adopted for disease modeling, drug discovery and preclinical research due to their functional and architectural similarity to their tissue/sample of origin, especially for oncology research. Multifunctional profiling and assays using 3D cell models such as tumoroids tend to be manual and tedious. Further, high-content imaging of biomarkers in 3D cell models can be difficult.
In this two-part webinar present to you streamlined technologies which can bring consistent timesaving, ease-of-use, and high-quality data to your 3D cell-based workflows:

(A)  The Pu·MA System is a microfluidics-based benchtop automated device for performing “hands-off” 3D cell-based assays. In this webinar, application scientist Dr. Katya Nikolov will present data from optimized assays using tumoroids followed by Yokogawa’s high-content imaging systems for biomarker detection.

(B) Yokogawa’s high-content imaging systems such as CellVoyager CQ1 provide superior confocal imaging using the Nipkow Spinning Disk Confocal Technology. Here, application scientist, Dan Collins will present details of the high-content imaging capabilities, easy to use and intuitive image acquisition software, especially for increasing productivity and a streamlined workflow.

Learn How:

• The open platform, Pu·MA System can be used to automate your 3D cell-based assays
• To perform automated IF staining for biomarkers using tumoroid models without perturbing your precious samples
• Image acquisition from 3D cell models using Yokogawa’s high-content imaging platforms
• Image analysis from cells, complex spheroids, colonies, or tissues using the CellPathfinder high content analysis software

Physiologically relevant 3D cell models are essential for drug discovery and preclinical research due to their functional and architectural similarity to solid tumors. One of the challenges faced by researchers is that many of the assays using these precious samples tend to be manual and tedious.

Using proprietary microfluidics technology, Protein Fluidics has created the Pu·MA System for automated complex 3D cell-based assays. In this webinar, application scientist Dr. Katya Nikolov will present her work on combining this novel automation technology with Yokogawa’s high-content imaging systems for biomarker detection in 3D cell models. Nikolov will demonstrate the utility of an automated immunofluorescence staining workflow followed by confocal imaging within the Pu·MA System flowchips. This automated workflow enables quantitative assessment of biomarkers which provides valuable data for further understanding disease mechanisms, preclinical drug efficacy studies, and in personalized medicine.

This webinar will explore:

• The Pu·MA System and novel technology for automated 3D cell-based assays
• How to perform automated immunofluorescence staining for biomarkers with a “hands-off” assay workflow
• How to visualize biomarkers after the assay with high-content imaging within the flowchip