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AI-powered 3D microscopy deconvolution

Deconvolve 3D Microscopy images
with Zero hardware upgrades

deconv3d.ai is an AI-based Deconvolution model for restoring raw Z-stack images into a confocal-like images.

Formats: .nii, .nii.gz, .tif, .h5, .czi
3D microscopy
Fast GPU inference

Built for labs and imaging cores for generating high quality image from low quality microscope platform or 40X objective.

  • Browser-based: no installs or IT tickets.
  • Consistent output for screening, QC, and quantification.
  • Ideal pre-processing step for segmentation and downstream AI.
3D Volume Preview AI deconvolution
NIfTI
Input Image Raw
AI output Deconvolve
Sample data Try it yourself
⬇️
3D Sample
Blob · .nii.gz
⬇️
2D Sample
Blob · .nii.gz
Tip: Download example data and upload them to the dashboard to test deconv3d.ai.
Browser inference

Built for experimental and translational teams

1. Upload

Drop in your 3D volume

Upload 3D Volume directly into the browser and select model Linear(b-catenin, Filamentous) or Blob(DAPI). No local installs, drivers, or Python environments to manage.

  • Supports fluorescence Z-stacks
  • Secure, session-based processing
  • Works with data from low-cost microscopes
2. Enhance

AI-powered deconvolution

Our custom 3D AI model denoises, sharpens, and deconvolves while preserving delicate boundaries and small structures critical for quantification.

  • 3D context across the full volume
  • Optimized for fast inference on standard GPUs
  • Trained to avoid hallucinating structures
3. Export

Visualize and download

Scroll through enhanced slices, compare input vs output, and download the deconvolved output for segmentation, tracking, or downstream AI tasks.

  • Side-by-side review for quick QC
  • Compatible with napari, Fiji, and Python workflows
  • Ideal for organoid screens and assay readouts

Contact & collaborations

Want a demo, a pilot run on your dataset, or a custom deployment for your lab or core facility?

bparvin@unr.edu sohaib.cs1@gmail.com

Academic use welcome. For commercial/clinical evaluation, contact us for licensing and deployment options.