Batch Deconvolution in Action - Automated Image Processing | NIS-Elements @NikonInstrumentsInc
Batch Deconvolution in Action - Automated Image Processing | NIS-Elements  @NikonInstrumentsInc
Uploaded December 2025 | Updated September 2026, 2 weeks ago
Batch Deconvolution is a separate software that provides state-of-the-art deconvolution capabilities to enhance your image resolution and improve signal to noise ratio. It allows you to process images in batches and set up Watched Folders to further automate the processing. It also has an image viewer allowing you to easily compare multiple synchronized images before and after processing with various methods. It is available as standalone software or as an additional module.

Supported acquisition modalities:
• Wide-field
• Point Scanner Confocal
• Spinning-Disc Confocal
• Multi-Photon
• N-SIM
• NSPARC/SR Mode (incl. MP)
• NSPARC/CF Mode (incl. MP)
• CSU W1-SoRa

Available deconvolution models:
• Maximum a Posteriori (MAP)
• Richardson-Lucy
• Landweber
• Blind
• Fast

🕒Timestamps:
00:00 - Add files or folder or Watched Folder
00:07 - Files are loaded and can be reviewed using the viewer functions (4D+)
00:17 - Select a Deconvolution Preset: Save your favorite settings, add denoising, and compare methods by choosing multiple Presets.
00:28 – Processing starts – progress can be monitored
00:35 - After processing, review and compare images in the synchronized viewer. Deconvolution settings are available.
00:52 - Use profile view to closely inspect resolution improvements after deconvolution.
01:15 - Change the interpolation method, such as to maximum intensity projection.
01:24 - Drag and drop images for comparison
01:49 - Explore your data with Slice View and Volume View
02:14 - The Watched Folder function automatically deconvolves images as soon as they appear in the folder.
02:36 - Deconvolve the same image with different parameters to compare results, or use the automatic option to let the software choose for you.

Image acknowledgments: A Ciliate culture stained with Tubulin using U-ExMby Dudin Lab, Department of Biochemistry, UNIGE

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Batch Deconvolution in Action - Automated Image Processing | NIS-Elements

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