Celleste Image Analysis Software

Intuitive cell analysis at your fingertips

Celleste 5.0 Image Analysis Software is a full-feature image analysis suite designed for a range of biological applications, from image adjustments and processing with manual and automatic measurements over multiple channels, to segmentation and classification tools that help you transform images into quantitative data in a streamlined and customizable workflow. Optional modules for deconvolution, 3D visualization and 3D analysis allow you to customize the capabilities according to your needs. Coupled with the powerful image acquisition capabilities of the EVOS microscopes, Celleste software allows you to seamlessly capture, process, segment, classify, measure, analyze and share images and data. Celleste Image Analysis Software is compatible with the EVOS M7000, EVOS M5000, and the EVOS FL Auto 2 Cell Imaging Systems.

Highlights in Celleste 5.0

  • Streamlined workflow tools that make it easy to visualize and edit images
  • Comprehensive image processing and enhancement functions with optional modules for deconvolution, 3D rendering and 3D analysis to design a package that meet your specific needs
  • Powerful image analysis capabilities for segmentation, classification, and quantification of single images or a batch of images
  • A new interface for streamlined multi-well plate navigation and well selection

Optional modules

Deconvolution modules

Deconvolution is an algorithm-based process used to restore systematic loss of image contrast (blur) that has been as a result of the imaging point spread function (PSF). The powerful 2D and 3D restoration algorithms available in Celleste 5.0 modules allow you to deconvolve your images to simply enhance contrast and quality, or to visualize them in Z, time and by channel. Then analyze the resulting image using an expanded tool set.

Celleste 2D Deconvolution Module

Celleste 2D Deconvolution Module

Improve single-plane image quality (S/N) of cells or tissue slices by clearing background haze (out-of-focus light).

  • Blind and non-blind deconvolution options
  • Dramatically improved image quality
  • Removal of blur that can obscure important details
  • The tools to generate more impressive images and reliable data
Celleste 3D Deconvolution module

Celleste 3D Deconvolution module

Dramatically improve resolution and clarity of thick samples like spheroids, tissue slices or cells in 3D matrices by deconvolving image Z-stacks. Enhance image quality for presentation, publications or 3D volume analysis.

  • Blind and non-blind deconvolution options
  • Advanced PSF controls with measured and theoretical PSF options
  • A suite of 3D display and visualization tools
  • Dramatically improved image quality
Celleste 3D Visualization Module

Celleste 3D Visualization Module

Enhance the 3D object visualization using a range of powerful tools.

  • Adjust background and transparency
  • Choose among different projection types that best suit your images
  • Create and enhance 3D movies by key frame annotations, object counts and intensity adjustments
Celleste 3D Analysis Module

Celleste 3D Analysis Module

Visualize complex 3D objects using guided segmentation designed to facilitate identification and measurements.

  • Automatically segment objects by using any 2D frame in the Z-stack
  • Seamlessly propagate the in Z with automated or semi-automated tools
  • Automatically generate iso-surfaces and pseudo-surfaces
  • Count in 3D including colocalization
  • Measure point-to-point distances, surfaces and volumes

Cell counting

Using a number of manual and automatic measurement tools, easily count and characterize cells and subcellular objects based on area, length, shape, and light intensity. Flexible segmentation tools allow you to label images based on color or intensity level. A new ROI functionality allows you to count objects and maintain measurements by region, e.g. a parent-child application, and also to count by ROI. After object counting, sort and display counted images based on size and other parameters.

Count objects and create data tables with multiple parameter options
Figure 1. Count objects and create data tables with multiple parameter options.

Cell viability

Following cell viability over time can assist in evaluating the potency of cytotoxic compounds as part of cancer drug research or just as part of good cell maintenance protocols.

Cytoskeletal disruption

Time-lapse fluorescence microscopy on the EVOS FL Auto 2 Imaging System enables reliable and straightforward visualization of the cytoskeleton, in both fixed and live-cell systems.

Apoptosis

Membrane permeability is one of the first steps in the programmed cell-death pathway. It’s part of both normal and pathological processes. With the EVOS FL Auto 2 Imaging System and EVOS Onstage Incubator, induction of apoptosis and death can be measured over time by combining nuclear staining of membrane impermeable DNA stains and a caspase sensor.

Cell cycle

Quantitating cell numbers at various cell cycle checkpoints are integral for cancer research. Researchers looking for cell cycle developmental changes or modulators of the cell cycle can use Celleste Image Analysis Software to monitor for changes in intensity and color as cells go through the different cell cycle phases.

Wound healing

Tissue formation during embryonic development, wound healing, and immune responses all require the orchestrated movement of cells in particular directions to specific locations. Cells often migrate in response to specific external signals, including chemical signals and mechanical signals. An understanding of the mechanism by which cells migrate may lead to the development of novel therapeutic strategies for controlling, for example, invasive tumor cells. Combining the EVOS FL Auto 2 time-lapse live cell capabilities with the wound-healing measurement on Celleste software, allows generation of wound-healing data, over time, with the touch of a button.

Adipogenesis

The EVOS FL Auto 2 allows for the investigation of multiple factors that affect adipogenesis. For example, time-lapse images and Celleste software functionality can be combined to show increased adiposome number and size over time, as they are differentiated into adipocytes with differentiation media.

Classification

Celleste segmentation U2OS 4X DAPI
Celleste segmentation U2OS 20X DAPI

Figure 2. Specify specific colors and names to classify and organize your measurements.

Colocalization

Celleste software includes a colocalization feature, which measures the spatial overlap between two (or more) different fluorescent labels to demonstrate a correlation between a pair of biomolecules in 2D or 3D space. With this powerful tool, you have the ability to manually define regions for colocalization analysis or use the Count/Size tool to segment cells or structures of interest in order to perform colocalization in these areas.

Cell Colocalization

Figure 3. Easily export your measurements and data graphs for further analysis.

Q: Where can I find full specifications for Celleste software?
A: See the specifications on the Celleste Image Analysis Software product page.

Q: Is Celleste software compatible with images taken on any EVOS microscope?
A: Yes, Celleste software is compatible with all images taken from any EVOS system. For images taken on systems other than the EVOS FL Auto 2 instrument, spatial calibration is required for spatial data.

Q: Can Celleste software be installed on any computer?
A: Yes, as long as the computer meets specification requirements. Additionally, the activation dongle will need to be plugged in to the USB port of the computer in order to run Celleste software.

Q: How should I save my images on the EVOS FL Auto 2 system in order to perform quantitative analysis in Celleste software?
A: ​Be sure when saving images, they are saved as RAW images. We also recommend that you disable the High Brightness option in Settings to utilize the full bit depth of the system.

Q: ​​Can user accounts be set up in Celleste software so everyone may have their own settings?
A: Yes, go to Options and select Enable Application Configuration through User Logon at startup. This will allow you to create multiple user accounts when you click on the Administer Application Identifies button.

Q: Will Celleste software run on MAC or Linux operating systems?
A: ​No, Celleste software can only be run on Windows operating systems.

Celleste 5.0 how-to videos

Celleste how-to videos

Highlights in Celleste 5.0

  • Streamlined workflow tools that make it easy to visualize and edit images
  • Comprehensive image processing and enhancement functions with optional modules for deconvolution, 3D rendering and 3D analysis to design a package that meet your specific needs
  • Powerful image analysis capabilities for segmentation, classification, and quantification of single images or a batch of images
  • A new interface for streamlined multi-well plate navigation and well selection

Optional modules

Deconvolution modules

Deconvolution is an algorithm-based process used to restore systematic loss of image contrast (blur) that has been as a result of the imaging point spread function (PSF). The powerful 2D and 3D restoration algorithms available in Celleste 5.0 modules allow you to deconvolve your images to simply enhance contrast and quality, or to visualize them in Z, time and by channel. Then analyze the resulting image using an expanded tool set.

Celleste 2D Deconvolution Module

Celleste 2D Deconvolution Module

Improve single-plane image quality (S/N) of cells or tissue slices by clearing background haze (out-of-focus light).

  • Blind and non-blind deconvolution options
  • Dramatically improved image quality
  • Removal of blur that can obscure important details
  • The tools to generate more impressive images and reliable data
Celleste 3D Deconvolution module

Celleste 3D Deconvolution module

Dramatically improve resolution and clarity of thick samples like spheroids, tissue slices or cells in 3D matrices by deconvolving image Z-stacks. Enhance image quality for presentation, publications or 3D volume analysis.

  • Blind and non-blind deconvolution options
  • Advanced PSF controls with measured and theoretical PSF options
  • A suite of 3D display and visualization tools
  • Dramatically improved image quality
Celleste 3D Visualization Module

Celleste 3D Visualization Module

Enhance the 3D object visualization using a range of powerful tools.

  • Adjust background and transparency
  • Choose among different projection types that best suit your images
  • Create and enhance 3D movies by key frame annotations, object counts and intensity adjustments
Celleste 3D Analysis Module

Celleste 3D Analysis Module

Visualize complex 3D objects using guided segmentation designed to facilitate identification and measurements.

  • Automatically segment objects by using any 2D frame in the Z-stack
  • Seamlessly propagate the in Z with automated or semi-automated tools
  • Automatically generate iso-surfaces and pseudo-surfaces
  • Count in 3D including colocalization
  • Measure point-to-point distances, surfaces and volumes

Cell counting

Using a number of manual and automatic measurement tools, easily count and characterize cells and subcellular objects based on area, length, shape, and light intensity. Flexible segmentation tools allow you to label images based on color or intensity level. A new ROI functionality allows you to count objects and maintain measurements by region, e.g. a parent-child application, and also to count by ROI. After object counting, sort and display counted images based on size and other parameters.

Count objects and create data tables with multiple parameter options
Figure 1. Count objects and create data tables with multiple parameter options.

Cell viability

Following cell viability over time can assist in evaluating the potency of cytotoxic compounds as part of cancer drug research or just as part of good cell maintenance protocols.

Cytoskeletal disruption

Time-lapse fluorescence microscopy on the EVOS FL Auto 2 Imaging System enables reliable and straightforward visualization of the cytoskeleton, in both fixed and live-cell systems.

Apoptosis

Membrane permeability is one of the first steps in the programmed cell-death pathway. It’s part of both normal and pathological processes. With the EVOS FL Auto 2 Imaging System and EVOS Onstage Incubator, induction of apoptosis and death can be measured over time by combining nuclear staining of membrane impermeable DNA stains and a caspase sensor.

Cell cycle

Quantitating cell numbers at various cell cycle checkpoints are integral for cancer research. Researchers looking for cell cycle developmental changes or modulators of the cell cycle can use Celleste Image Analysis Software to monitor for changes in intensity and color as cells go through the different cell cycle phases.

Wound healing

Tissue formation during embryonic development, wound healing, and immune responses all require the orchestrated movement of cells in particular directions to specific locations. Cells often migrate in response to specific external signals, including chemical signals and mechanical signals. An understanding of the mechanism by which cells migrate may lead to the development of novel therapeutic strategies for controlling, for example, invasive tumor cells. Combining the EVOS FL Auto 2 time-lapse live cell capabilities with the wound-healing measurement on Celleste software, allows generation of wound-healing data, over time, with the touch of a button.

Adipogenesis

The EVOS FL Auto 2 allows for the investigation of multiple factors that affect adipogenesis. For example, time-lapse images and Celleste software functionality can be combined to show increased adiposome number and size over time, as they are differentiated into adipocytes with differentiation media.

Classification

Celleste segmentation U2OS 4X DAPI
Celleste segmentation U2OS 20X DAPI

Figure 2. Specify specific colors and names to classify and organize your measurements.

Colocalization

Celleste software includes a colocalization feature, which measures the spatial overlap between two (or more) different fluorescent labels to demonstrate a correlation between a pair of biomolecules in 2D or 3D space. With this powerful tool, you have the ability to manually define regions for colocalization analysis or use the Count/Size tool to segment cells or structures of interest in order to perform colocalization in these areas.

Cell Colocalization

Figure 3. Easily export your measurements and data graphs for further analysis.

Q: Where can I find full specifications for Celleste software?
A: See the specifications on the Celleste Image Analysis Software product page.

Q: Is Celleste software compatible with images taken on any EVOS microscope?
A: Yes, Celleste software is compatible with all images taken from any EVOS system. For images taken on systems other than the EVOS FL Auto 2 instrument, spatial calibration is required for spatial data.

Q: Can Celleste software be installed on any computer?
A: Yes, as long as the computer meets specification requirements. Additionally, the activation dongle will need to be plugged in to the USB port of the computer in order to run Celleste software.

Q: How should I save my images on the EVOS FL Auto 2 system in order to perform quantitative analysis in Celleste software?
A: ​Be sure when saving images, they are saved as RAW images. We also recommend that you disable the High Brightness option in Settings to utilize the full bit depth of the system.

Q: ​​Can user accounts be set up in Celleste software so everyone may have their own settings?
A: Yes, go to Options and select Enable Application Configuration through User Logon at startup. This will allow you to create multiple user accounts when you click on the Administer Application Identifies button.

Q: Will Celleste software run on MAC or Linux operating systems?
A: ​No, Celleste software can only be run on Windows operating systems.

Celleste 5.0 how-to videos

Celleste how-to videos

Featured Product: EVOS M7000 Imaging System

The EVOS M7000 Imaging System was designed with advanced capabilities to simplify demanding cell-based imaging applications—including live-cell imaging, image tiling, and Z-stacking—so researchers can focus on their data rather than instrument operation.

Learn more about the EVOS M7000 Imaging System

EVOS M7000 Imaging System