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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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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.
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Continuous Renal Replacement Therapy, also known as CRRT, is a procedural treatment for acute kidney injury (AKI) that gradually removes uremic toxins and fluids while maintaining acid-base balance and stabilizing electrolytes. It is particularly useful for hemodynamically unstable patients. Unlike intermittent hemodialysis, which is faster, CRRT provides a gentler approach over 24 hours, closely mimicking the function of natural kidneys. However, CRRT is not ideal for patients with...
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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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A Single-Component System01:24

A Single-Component System

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In the field of chemistry, the terms "component" and "phase" hold significant importance. A component refers to a chemically distinct substance in a system that has specific properties. It is chemically homogeneous, meaning it has the same properties throughout. For example, in a mixture of salt and water, both salt and water are considered separate components because they have different chemical properties.On the other hand, a phase is a form of matter that has a consistent chemical...
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Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform.

Ioannis K Moutsatsos1, Imtiaz Hossain2, Claudia Agarinis3

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Summary
This summary is machine-generated.

This study introduces Jenkins-CI for automating high-content screening (HCS) data analysis. It integrates tools like CellProfiler, streamlining image processing and data management for better collaboration and computational efficiency.

Keywords:
CellProfilercontinuous integrationhigh-content screeninghigh-performance computing

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Scientific Computing

Background:

  • High-throughput screening (HTS) generates vast, complex datasets requiring sophisticated computational management.
  • Developing integrated, scalable, and robust computational workflows for HTS data is a significant challenge.
  • Standardized data processing, collaboration, and best practice reuse are crucial for HTS data analysis.

Purpose of the Study:

  • To demonstrate the utility of Jenkins-CI, an open-source continuous integration system, for building computational pipelines for high-content screening (HCS) data.
  • To integrate CellProfiler, an image-processing platform, with HCS utilities and high-performance computing resources using Jenkins-CI.
  • To create a web-accessible platform for automated, collaborative, and reproducible HCS data and image processing.

Main Methods:

  • Utilized Jenkins-CI, an open-source continuous integration system, to construct data processing pipelines.
  • Integrated CellProfiler, an open-source image analysis software, with various HCS tools.
  • Leveraged a high-performance Linux cluster for computational tasks.
  • Employed Jenkins-CI plugins to facilitate integration and manage compute resources.

Main Results:

  • Developed a web-accessible platform for automated HCS image and data processing.
  • Successfully integrated CellProfiler and HCS utilities within a Jenkins-CI framework.
  • Enabled centralized management and sharing of imaging pipelines and annotated data.
  • Automated previously labor-intensive data and image-processing tasks, enhancing efficiency.

Conclusions:

  • Jenkins-CI provides a flexible and powerful framework for building robust computational pipelines for HCS data.
  • The integrated platform enhances collaboration, data sharing, and reproducibility in HCS research.
  • Addressing UI limitations with community plugins ensures a more user-friendly experience for complex scientific workflows.