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Related Concept Videos

Downsampling01:20

Downsampling

872
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
872
Block Diagram Reduction01:22

Block Diagram Reduction

727
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
727

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Related Experiment Video

Updated: May 1, 2026

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
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Rethinking Histology Slide Digitization Workflows for Low-Resource Settings.

Talat Zehra1, Joseph Marino2, Wendy Wang2

  • 1Jinnah Sindh Medical University, Karachi, Pakistan.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|February 3, 2025
PubMed
Summary
This summary is machine-generated.

A new cloud workflow creates high-quality whole-slide images (WSIs) from inexpensive microscope videos. This democratizes digital pathology for remote consultations and AI analysis, improving global health equity.

Keywords:
Slide digitizationcloud platformlimited-resource settingsneglected diseasesstitchingwhole slide images

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Area of Science:

  • Digital Pathology
  • Medical Imaging
  • Health Informatics

Background:

  • Histology slide digitization is crucial for telepathology, education, and AI applications.
  • Current digitization methods are expensive, limiting access in resource-constrained settings and exacerbating health inequities.
  • High costs stem from specialized scanners, storage, and personnel, as well as advanced hardware for manual scanning.

Purpose of the Study:

  • To develop an accessible cloud-based workflow for creating high-quality whole-slide images (WSIs).
  • To enable scanner-quality WSI generation from low-quality videos captured by inexpensive microscopes.
  • To reduce the cost barrier for digital pathology adoption in underserved regions.

Main Methods:

  • A cloud platform processes uploaded low-quality microscope videos.
  • A pipeline stitches images, deblurs out-of-focus regions, and upsamples to 40X resolution.
  • Image processing corrects brightness, contrast, and illumination variations.

Main Results:

  • Demonstrated efficacy in generating WSIs for neglected tropical diseases like Cutaneous Leishmaniasis.
  • Successfully created WSIs from various common pathologies, including breast, liver, stomach, lymph node, and duodenum core biopsies.
  • The workflow effectively transforms low-cost video inputs into diagnostically valuable whole-slide images.

Conclusions:

  • The developed workflow significantly lowers the cost of digital slide creation.
  • This innovation enhances accessibility to digital pathology tools for telepathology and knowledge sharing globally.
  • The project aims to bridge the health equity gap by providing affordable digital pathology solutions.