Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
Transformations of Functions III01:20

Transformations of Functions III

Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Accuracy of non-invasive electrocardiographic imaging in scar-dependent ventricular tachycardia: relationship to arrhythmogenic substrate and imaging defined scar.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

Confounding factors and biases abound when predicting molecular biomarkers from histological images.

Nature biomedical engineering·2026
Same author

Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation.

Communications medicine·2025
Same author

Deep learning for predicting prognostic consensus molecular subtypes in cervical cancer from histology images.

NPJ precision oncology·2025
Same author

A novel AI-based score for assessing the prognostic value of intra-epithelial lymphocytes in oral epithelial dysplasia.

British journal of cancer·2024
Same author

Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence.

Cancers·2024

Related Experiment Video

Updated: Jun 21, 2026

SIVQ-LCM Protocol for the ArcturusXT Instrument
07:37

SIVQ-LCM Protocol for the ArcturusXT Instrument

Published on: July 23, 2014

8.7K

WSIC: a Python package and command-line interface for fast whole slide image conversion.

Johnathan Pocock1, Shan E Ahmed Raza1, Fayyaz Minhas1

  • 1Department of Computer Science, University of Warwick, West Midlands CV4 7AL, United Kingdom.

Bioinformatics Advances
|September 18, 2023
PubMed
Summary
This summary is machine-generated.

Whole slide images (WSIs) are large, complex digital pathology files. WSIC is a new open-source Python tool that efficiently converts between WSI formats for better data handling.

More Related Videos

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
09:33

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

Published on: May 3, 2018

8.2K
Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues
07:40

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

5.4K

Related Experiment Videos

Last Updated: Jun 21, 2026

SIVQ-LCM Protocol for the ArcturusXT Instrument
07:37

SIVQ-LCM Protocol for the ArcturusXT Instrument

Published on: July 23, 2014

8.7K
Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
09:33

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

Published on: May 3, 2018

8.2K
Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues
07:40

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

5.4K

Area of Science:

  • Digital Pathology
  • Computational Pathology
  • Bioinformatics

Background:

  • Whole slide images (WSIs) are essential in digital pathology but exist in diverse, often proprietary formats.
  • Handling heterogeneous WSI datasets poses significant challenges for computational analysis and data management.

Purpose of the Study:

  • To introduce WSIC, an open-source Python application designed for efficient conversion between various Whole Slide Image formats.
  • To facilitate pre-processing of large-scale digital pathology datasets with mixed file types.

Main Methods:

  • Development of a high-performance Python application (WSIC) for WSI format conversion.
  • Ensuring preservation of original image resolution and metadata during conversion.

Main Results:

  • WSIC enables rapid conversion of WSI files across multiple common, open, and cloud-friendly formats.
  • The tool maintains critical image resolution metadata, crucial for accurate analysis.

Conclusions:

  • WSIC offers a valuable solution for managing and pre-processing heterogeneous WSI datasets in digital pathology.
  • The open-source nature and PyPI availability of WSIC promote its adoption in computational pathology workflows.