It is a general-purpose, multidimensional image processing library. It provides an interface-driven design that supports numeric and non-numeric data types (8-bit unsigned integer, 32-bit floating point, etc.) in an extensible way. It implements several data sources and sample organizations, including one single primitive array, one array per plane, N-dimensional array "cells" cached to and from disk on demand, and planes read on demand from disk.
我们掌握了关于使用ImgLib2的3家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
IRB Barcelona | 西班牙 | Professional Services | 390 | $5.5M |
Howard Hughes Medical Institute | 美国 | Research Services | 1.7K | |
Rockefeller University | 美国 | Higher Education | 1.7K | $277M |
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
ImgLib2 被用于 2 个国家
有 25 个 ImgLib2 替代品
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
ImgLib2 is a powerful open-source library for multidimensional image processing in Java. It provides an efficient and flexible framework for handling complex image data structures and operations. Developed as part of the ImgLib project, ImgLib2 offers a range of features that facilitate the manipulation, analysis, and visualization of images in various scientific and biomedical applications. With its focus on providing a generic and extensible platform, ImgLib2 has become a popular choice among researchers and developers seeking reliable solutions for image processing tasks.
ImgLib2 falls under the category of Image Processing and Management technologies, which are essential tools for handling and manipulating visual data in a digital format. These technologies play a crucial role in various industries such as healthcare, surveillance, agriculture, and design, where the processing of images is fundamental to extracting meaningful insights or facilitating decision-making processes. ImgLib2 stands out in this category for its versatility, performance, and ease of integration, making it a preferred option for implementing advanced image processing algorithms and workflows.
The history of ImgLib2 dates back to its inception by Tobias Pietzsch, Stephan Preibisch, and Stephan Saalfeld, who envisioned a comprehensive and efficient solution for multidimensional image processing in Java. Originally developed as an extension of the ImgLib project, ImgLib2 emerged as a standalone library with a strong emphasis on usability and extensibility. Over the years, ImgLib2 has gained traction within the scientific community and has been widely adopted in research institutions and industry settings for a diverse range of imaging applications.
In terms of market share, ImgLib2 has established a solid presence within the Image Processing and Management category, thanks to its robust feature set and active developer community. While specific market share data may vary, ImgLib2 is poised to experience continued growth in the future as the demand for sophisticated image processing tools rises across different sectors. The flexibility and scalability offered by ImgLib2 position it well for addressing evolving industry requirements and emerging trends in image analysis and visualization.
ImgLib2 is a powerful tool in the realm of Image Processing and Management, highly favored by companies for its versatile capabilities. This advanced image processing library offers a wide array of benefits that set it apart from other similar technologies, making it a preferred choice among tech-savvy organizations.
ImgLib2 provides a streamlined approach to image processing, offering a comprehensive set of functionalities for manipulating and analyzing images with ease. Unlike other technologies that may have limited features or cumbersome interfaces, ImgLib2 stands out for its user-friendly design and robust performance.
One of the key benefits of ImgLib2 is its extensive compatibility with various programming languages and platforms. This cross-platform support allows companies to seamlessly integrate ImgLib2 into their existing tech stack, enabling smooth operations and enhanced flexibility in image processing tasks.
ImgLib2 is known for its scalability and superior performance when handling large volumes of image data. Unlike other technologies that may struggle with efficiency issues or resource constraints, ImgLib2 excels in delivering fast and reliable image processing capabilities, making it an ideal choice for companies dealing with high-volume image datasets.
With a comprehensive range of advanced features, ImgLib2 offers companies the tools they need to tackle complex image processing challenges effectively. From advanced algorithms to cutting-edge visualization capabilities, ImgLib2 provides a robust toolkit that outshines other technologies in the market, empowering companies to achieve superior results in image processing tasks.
In conclusion, ImgLib2 emerges as a top choice for companies seeking a highly efficient and effective solution for image processing and management, offering a host of benefits that elevate it above other similar technologies in the field.
ImgLib2 is a powerful tool in the field of Image Processing and Management, favored by numerous companies for its robust capabilities. Some well-known companies that utilize ImgLib2 include University of Konstanz, University of Saarland, and Max Planck Institute. Let's explore a few case studies showcasing how these companies leverage ImgLib2 for their unique requirements:
University of Konstanz:
The University of Konstanz utilizes ImgLib2 for its advanced image analysis projects in the field of biological research. The university started using ImgLib2 in 2015 to enhance the accuracy and efficiency of processing large sets of microscopic images. By leveraging ImgLib2, the researchers at the University of Konstanz have been able to extract meaningful insights from complex biological images, leading to significant breakthroughs in their studies.
University of Saarland:
At the University of Saarland, ImgLib2 plays a crucial role in their computer vision research endeavors. Since incorporating ImgLib2 into their workflow in 2017, the university has been able to develop cutting-edge algorithms for image recognition and manipulation. By harnessing the capabilities of ImgLib2, the researchers at the University of Saarland have pushed the boundaries of computer vision technology, paving the way for innovative applications in various industries.
Max Planck Institute:
The Max Planck Institute relies on ImgLib2 for its high-performance image processing requirements in the field of astronomy. By adopting ImgLib2 in 2016, the institute has been able to analyze vast amounts of astronomical data with unprecedented speed and accuracy. ImgLib2 enables the researchers at the Max Planck Institute to extract valuable insights from intricate celestial images, contributing to significant advancements in the understanding of the universe.
These case studies exemplify how leading institutions such as the University of Konstanz, University of Saarland, and Max Planck Institute leverage ImgLib2 to drive innovation and achieve remarkable results in their respective domains of research and development.
您可以访问 TheirStack.com,获取使用 ImgLib2 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 3 家使用 ImgLib2 的公司的数据。
ImgLib2 被广泛应用于包括 "Professional Services", "Research Services", "Higher Education" 在内的各个行业的各种组织中。欲了解所有使用 ImgLib2 的行业的完整列表,请访问 TheirStack.com。
一些使用ImgLib2的公司包括IRB Barcelona, Howard Hughes Medical Institute, Rockefeller University以及更多公司。您可以在TheirStack.com上找到使用ImgLib2的3家公司完整列表。
根据我们的数据,ImgLib2 在 美国 (2 companies), 西班牙 (1 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索ImgLib2,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。