Sentence examples for a 3D deconvolution from inspiring English sources

Colocalization of scFv-M6-1B9 intrabody with CD147 in the ER network was depicted using a 3D deconvolution microscopy system.

Optical sections were captured using NIS-Elements AR (Nikon Instruments Inc, Melville, NY, USA) and processed using a 3D deconvolution module.

Conventional wide-field (deconvolution) image stacks were generated from 3D-SIM raw data by average projection of five consecutive phase-shifted images from each plane (only of the first angle) and, in case, subjected it to an iterative 3D deconvolution using softWoRx 6.0.

Acquired wide field Z-stacks were routinely deconvolved using 10 iterations of a 3D blind deconvolution by MetaMorph 6.2r4.

Cells were photographed using a Zeiss AxioImager microscope and images were submitted for blind 3D deconvolution (ten iterations) using Autodeblur Media Cyberneticss).

Applying 3D deconvolution to these focal stacks, we can produce a set of cross sections, which can be visualized using volume rendering.

After incubation for 1 h at 21°C with a secondary antibody (Alexa Fluor® 488-conjugated; 1 1000 dilution) and counterstaining with DAPI (0.05 μg/ml) to reveal nuclei, images were acquired using a Delta Vision DV3 deconvolution microscope with an oil-immersion ×63 objective lens and images were processed using OMERO.

Blind 3D deconvolution was made with AutoQuant X2 (Media Cybernetics).

After 3D deconvolution, projected images were used for judging colocalization of two differently tagged proteins.

Deconvolution was performed by the 3D deconvolution module from Metamorph using the fast iterative Constrained PSF-based algorithm [58].

Images were collected and 3D deconvolution performed using Inovision software.