Mayachitra has released an update of its imago 1 bioimage management and analysis software. The update enhances the user experience by optimzing memory for image loading and visualization and provides more flexibility for the interactive cell anlaysis tool. The mosaciking tool is optimized for multipoint time-lapse montage images. There is also a new bitmap effect and of z- or t-stacks can be exported into movies.
The mosaicking method is designed to be used with an image set acquired using a motorized stage. When images are collected the acquisition software usually captures the XY setting and the location information into a log file. By selecting the log file from the local hard drive, imago will import images into album and the software provides a preview of the mosaic in stack and z-projection. The latest update expands this mosaicking tool to time series.
The software also provides interactive cell segmentation. This segregates the background from the foreground using information provided by the user and computes the properties of individual cells such as area, perimeter, and average intensity. The latest release optimizes the efficiency for visualizing the segmentation result, providing a better and faster interactive experience.
A free, fully functional 30-day trial is available for download at http://mayachitra.com/imago/download-trial.html
Showing posts with label software. Show all posts
Showing posts with label software. Show all posts
Microscope imaging software
Olympus has introduced cellSens microscope imaging software. The fully customizable software lets researchers move smoothly and quickly from image capture through processing, analysis and reporting. It also supports functions as deconvolution, cell counting, large area stitching, fluorescence unmixing and data sharing.
Developed by Olympus engineers specifically for Olympus microscope users, the software’s interface displays only the windows and tools the user needs at any given time. Researchers can customize the interface to streamline their individual workflows for more efficient imaging, processing, measurement, analysis and communication of data.
For researchers acquiring large amounts of data and working with colleagues in remote locations, the Database module provides a fully customizable SQL Server Express-based database that can be used locally or across global networks. The Olympus NetCam module offers live viewing over the Internet to further enhance collaboration. Researchers can exchange images and view data offline using cellSens Viewer software, a free download.
The system has a newly designed, lightning-fast constrained iterative (CI) deconvolution module that helps improve image resolution, sharpness and contrast. It delivers images of superior quality using a proprietary deconvolution algorithm. Researchers can further explore the resulting image with advanced 3D visualization via the software’s Voxel-Viewer feature.
cellSens Dimension allows options such as 5D-multidimensional acquisition for multi-wavelength, Z-stack and time-lapse experiments; an X-Y stage control module designed for multi-point acquisition and large area montaging; and comprehensive object measurement and classification tools. cellSens Standard meets the need for basic image acquisition and analysis with streamlined operation. cellSens Entry is designed for those who do not require the most advanced capabilities.
More information at www.olympusamerica.com/cellSens.
Developed by Olympus engineers specifically for Olympus microscope users, the software’s interface displays only the windows and tools the user needs at any given time. Researchers can customize the interface to streamline their individual workflows for more efficient imaging, processing, measurement, analysis and communication of data.
For researchers acquiring large amounts of data and working with colleagues in remote locations, the Database module provides a fully customizable SQL Server Express-based database that can be used locally or across global networks. The Olympus NetCam module offers live viewing over the Internet to further enhance collaboration. Researchers can exchange images and view data offline using cellSens Viewer software, a free download
The system has a newly designed, lightning-fast constrained iterative (CI) deconvolution module that helps improve image resolution, sharpness and contrast. It delivers images of superior quality using a proprietary deconvolution algorithm. Researchers can further explore the resulting image with advanced 3D visualization via the software’s Voxel-Viewer feature.
cellSens Dimension allows options such as 5D-multidimensional acquisition for multi-wavelength, Z-stack and time-lapse experiments; an X-Y stage control module designed for multi-point acquisition and large area montaging; and comprehensive object measurement and classification tools. cellSens Standard meets the need for basic image acquisition and analysis with streamlined operation. cellSens Entry is designed for those who do not require the most advanced capabilities.
More information at www.olympusamerica.com/cellSens.
Data management software for cellular imaging
PerkinElmer Inc. launched the Columbus 2.0 platform at the High Content Analysis East conference in Boston this week. The high content screening (HCS) data management software is designed for cellular imaging and analysis and provides a central repository to import, export, and manage cell image data. The latest edition has faster interfacing between images and data management and is fully web-enabled, meaning it can be used without installing software. One installation can serve an entire laboratory, department or even organization.
It is fully compliant with the Open Microscopy Environment (OME) and uses the OMERO server, developed by the OME, which enables it to support a wide range of file formats, allowing flexible, rapid and high performance analysis of images regardless of their origin. The software comes in two versions: Columbus Gallery, which provides data archiving, management, and visualization; and Columbus Conductor, which comes with the Gallery functions but also allows analyzing or reanalyzing of HCS data from PerkinElmer's Opera or Operetta imaging readers image data from other instruments using Acapella image analysis software.
More information here.
More information here.
Automatic tracking of in vivo dendritic spines
A nueron's dendrites have tiny protrusions called dendritic spines. These spines have the important job of receiving input from a neighboring neuron, and thus are the subject of intense study. Most of these studies are done in vitro, but in vivo imaging of dendritic spines is possible with specialized equipment.In vivo imaging allows spines to be watched over time in a natural environment and allows observations during disease progression. However, counting and comparing dendrites from image to image taken with time-lapse microscopy is quite labor intensive.
Researchers at the Methodist Hospital Research Institute & the Methodist Hospital, Weill Cornell Medical College in Houston, TX recently published a paper detailing a technique that automates spine detection and tracking in a live animal model. They tested the technique on multiphoton microscopy images of an anesthetized mouse model of Alzheimer’s disease. Their method was able to map the dendritic backbone and its associated spines, quantify spine length and area, track the growth or loss of spines, and deal with poor image quality.
As we learn more about neurodegenerative disease such as Alzheimer’s disease, in vivo imaging of animal models will be key for studying how the brain changes during disease progression or reacts to therapies. Automating key parts of image analysis will greatly aid these studies.
Free full text .pdf of research paper: Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang and Stephen T. C. Wong, An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models, Neuroinformatics.
Researchers at the Methodist Hospital Research Institute & the Methodist Hospital, Weill Cornell Medical College in Houston, TX recently published a paper detailing a technique that automates spine detection and tracking in a live animal model. They tested the technique on multiphoton microscopy images of an anesthetized mouse model of Alzheimer’s disease. Their method was able to map the dendritic backbone and its associated spines, quantify spine length and area, track the growth or loss of spines, and deal with poor image quality.
As we learn more about neurodegenerative disease such as Alzheimer’s disease, in vivo imaging of animal models will be key for studying how the brain changes during disease progression or reacts to therapies. Automating key parts of image analysis will greatly aid these studies.
Free full text .pdf of research paper: Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang and Stephen T. C. Wong, An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models, Neuroinformatics.
New CMOS camera and workflow software
Capture color
If you’re looking for versatile yet affordable color camera, you might try the Olympus SC30 microscopy camera that was recently introduced in Europe. Suitable for material and life science applications, it has a native resolution of 2048 x 1532 pixels, uses a 3.3 megapixel CMOS chip, features exposure times that can be adjusted from 57 µs to 1.75 s, and has binning modes of 2x, 3x, and 4x. It can be used for live cell imaging, standard bright field applications, and for digital documentation. With 4x binning, it can capture 49 fps at resolution of 508 x 384 pixels. More info here.
Macnification digital electron microscopy shareware for the Mac could increase your productivity. It helps users organize, find, annotate, analyze, adjust, compare, and publish microscopic images. All major image file formats can be imported, and measurement results can be exported to spreadsheet applications. Requires Mac OS X 10.5 or later. More info here.
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