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Autoquant 3x

Manufactured by Media Cybernetics
Sourced in United States

AutoQuant 3X is a software application designed for image analysis and processing. It provides tools for visualization, enhancement, and quantification of digital images. The core function of AutoQuant 3X is to enable users to analyze and extract data from various types of microscopy and imaging data.

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3 protocols using autoquant 3x

1

4D Live-Imaging Data Analysis

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All 4D live-imaging data were deconvolved with either ImageJ (National Institute of Health) plug-in Microvolution (Microvolution, 2014–2016) or AutoQuant 3X (Media Cybernetics) using adaptive PSF (blind) prior to analysis. Data were processed using Imaris (Bitplane), ImageJ (National Institute of Health), Amira 6.3 (FEI - Thermo Fisher Scientific), Photoshop (CS6, Adobe, Inc) and Python-based software listed in the section ‘Markov State Model’.
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2

4D Live-Imaging Data Analysis

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All 4D live-imaging data were deconvolved with either ImageJ (National Institute of Health) plug-in Microvolution (Microvolution, 2014–2016) or AutoQuant 3X (Media Cybernetics) using adaptive PSF (blind) prior to analysis. Data were processed using Imaris (Bitplane), ImageJ (National Institute of Health), Amira 6.3 (FEI - Thermo Fisher Scientific), Photoshop (CS6, Adobe, Inc) and Python-based software listed in the section ‘Markov State Model’.
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3

Live Imaging of Islet Transplantation

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Transplanted mice were pre-anesthetized with isoflurane in a box. Animals were then mounted to a 3-point head holder with a respirator mask for continuing anesthesia. The mouse was placed on a heating plate and the head was tilted with the corneal surface of the transplanted eye in perpendicular orientation to an objective of an upright microscope. A two-photon microscope (LSM880, Carl Zeiss Jena, Jena, Germany) was used for live imaging. The system was equipped with a 20× Plan-Apochromat water immersion objective (Carl Zeiss Jena, NA 1.0). The data were acquired as time stacks (4D) and are displayed as maximum intensity projections. The acquisition of stack thickness and time were different depending on the size of the islet and on the number of infiltrating cells, therefore the acquisition information is indicated in each dataset. For data acquisition, Zen software (Zeiss, Jena, Germany) was used. Data analyses and three-dimensional (3D) reconstructions were performed by Imaris9.3 (Bitplane AG, Zurich, Switzerland). Deconvolution was done with Autoquant 3X (Media Cybernetics Inc., Rockville, MD, USA).
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