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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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Related Experiment Video

Updated: Jun 19, 2026

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples
08:18

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

Distributed image coding for digital image recovery from the print-scan channel.

Ramin Samadani1, Debargha Mukherjee

  • 1Hewlett-Packard Labs, Multimedia Communications and Network Lab, Palo Alto, CA 94304, USA. ramin.samadani@hp.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 6, 2009
PubMed
Summary

This study introduces a method to reconstruct digital images from printed photos using auxiliary data and Wyner-Ziv coding. This approach enables accurate image approximation and reduces digital storage requirements.

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Area of Science:

  • Digital Image Processing
  • Information Theory
  • Computer Vision

Background:

  • Printed photographs lose original digital data, hindering reuse.
  • Reconstructing digital images from prints is challenging due to data loss.

Purpose of the Study:

  • To develop a method for approximating original digital images from scanned prints combined with auxiliary data.
  • To leverage Wyner-Ziv coding for efficient image reconstruction and storage reduction.

Main Methods:

  • Utilizing a Wyner-Ziv coding framework to encode auxiliary information (sampled pixel blocks and color values).
  • Employing a two-step decoding process: initial registration/color correction, followed by residual error recovery and high-frequency restoration.
  • Combining scanned print data with digital auxiliary information for image approximation.

Main Results:

  • Experimental results demonstrate the feasibility of reconstructing digital images from scanned prints.
  • The method effectively reduces digital storage needs by utilizing the printed image as a reference.
  • Accurate registration and color reproduction were achieved during the decoding process.

Conclusions:

  • The proposed method successfully approximates original digital images from printed photographs.
  • Wyner-Ziv coding is effective for reconstructing lost image data and high spatial frequencies.
  • This technique offers a practical solution for preserving and reusing digital image information from physical prints.