Imaging Software

NIS-Elements

  1. Overview
  2. Key Features
  3. Options
  4. NIS-Elements HC
  5. Table of features

ND AcquisitionOptionAdvanced ResearchBasic Research

NIS-Elements captures images in a combination of multiple dimensions such as Time-Lapse, Multichannel, Z-series, and Multipoint. It is also possible to create and manage the acquisition of a multi-dimensional dataset with a thirty-minute time lapse of two wavelengths and a Z series across each well of a multi-well plate.

NI-DAQ ControlOptionAdvanced ResearchBasic ResearchDocumentation

TTL and analog signal input/output with NI-DAQ Control enables experiments using various triggerable devices.
Device triggering minimizes imaging time lag when used to control a Piezo Z device, shutter and wavelength switching, as it performs at the faster rate of the device without software communication delay.
The calibration of analog signal output from devices to such as temperature enables data to be measured and observed during experiments.

DeconvolutionOptionAdvanced Research

3D Deconvolution

Haze and blur of the acquired fluorescence image can be eliminated. By reassigning out-of-focus intensities back to the spatial locations to where they originated, the intensity of the image is kept and allows for quantitative analysis. Algorithms for wide-field fluorescence, point-scanning confocal and spinning-disk confocal images are available.

[fig.]
Before deconvolution
[fig.]
After deconvolution

2D Deconvolution

The 2D deconvolution module can be applied to a live image or an already acquired dataset. The module also allows the elimination of out-of-focus blur from live images and multidimensional images.

[fig.]
Before deconvolution
[fig.]
After deconvolution

Extended Depth of Focus (EDF)OptionAdvanced ResearchBasic ResearchDocumentation

With motorized focusing

The EDF function selects the in-focus area from multiple Z-stack images, and produces one all-in-focus image. The composite image can be viewed and rotated as a virtual 3D image, as it contains Z-axis information.

With manual focusing

An all-in-focus image is created in real-time in synchronization with the rotation of the focus knob. While the focus is manually adjusted, the in-focus areas of the image at different depths are successively captured and combined for the EDF image.

Object ClassifierOptionAdvanced Research

Object classifier uses objects identified by thresholding along with additional features such as shape factors, and other statistical methods including nearest neighbor and neural networks for classifying objects into multiple categories. It is also possible to teach the module based on interactive ‘picking’ of image pixels.

Calcium & FRETOptionAdvanced Research

Ca2+ ion concentration calibration of the ratiometric fluorochrome Fura2, for example, is available using an easily configurable wizard. Corrected FRET image and FRET efficiency, reported in percentage is also available using three filter sets (three types of excitation-fluorescent combination: “Donor - Donor,” “Acceptor - Acceptor” and “Donor - Acceptor”) and two bleed-through factors.

Object TrackingOptionAdvanced Research

2D tracking of an object utilizes the threshold of objects over time and produces measurements such as velocity, acceleration, and distance from a specified origin. The tracking module offers both automated tracking and manual tracking methods.

GA (General Analysis)OptionAdvanced Research

General Analysis streamlines the setup of image analysis combining functions, such as image preprocessing and thresholding, processing of binary images and features, and measurement settings.

  • GA creates a new measurement area by combining multiple binary layers, and creates a new measurement parameter by applying these custom measurement settings.
  • Each setting can be stored as a recipe that can be rerun for routine analysis under the same conditions across multiple datasets.

Output of analyzed results

JOBS EditorOptionAdvanced Research

JOBS Editor is a visual programming tool that can create experimental templates (JOBS) simply by dragging and dropping the settings for “tasks” in the sequence of experimental procedures, such as sample definition, image acquisition settings and analysis settings, into the JOBS Editor window.
The HC Template offers streamlined operation of high-throughput imaging/analysis. However, JOBS Editor enables easy creation of more complex and custom experimental templates, from image acquisition to analysis, by providing a number of available tasks, without the need of advanced data programming knowledge and the need for creating a macro.

Remote Database/JOBS Viewer* (for HC Template and JOBS Editor)OptionAdvanced Research

Enables image analysis and management of a large volume of high-content imaging data on an offline PC. Operating image acquisition and data analysis on separate computers boost total throughput.

General Analysis module is required for offline image analysis.
*JOBS Viewer is not available in some regions.

  • Remote Database allows offline exchange of data between computers and network servers.
  • Using JOBS Viewer and/or General Analysis, images acquired through HC Template or JOBS can be analyzed on a dedicated offline computer.

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