PAN Blend imaging packages

이 프로그램은 실제 값 포인트 데이타 (x,y,z,value)의 과학적 분석을 위한 그래픽 인터페이스를 제공합니다. 이 프로그램은 원자 프로브 단층 촬영 어플리케이션을 주요 대상으로 하지만, 다른 어플리케이션에서도 유용할 수 있습니다.

이 메타패키지는 일반적으로 자체 스크립트 언어를 제공하는, 대규모 천문학 데이타 분석 프레임워크를 설치할 것입니다. Gnu Data Language는 astro-gdl 자체 메타패키지를 가지고 있으며, IRAF는 astro-iraf에 있고, Astropy 프레임워크는 astro-python3 메타패키지에 있음을 주의하십시오.

GDL (GNU Data Language) is a free replacement for the commercial software IDL (Interactive Data Language). It has full syntax compatibility with IDL 7.1 and is usable for astronomical data analysis. This metapackage will install astronomy related packages usable with GDL; especially the IDL Astronomy Users Library.

이 메타패키지는 천문학을 위한 Python 3 패키지들을 설치할 것 입니다. 패키지는 대화형 분석에 사용되거나 또는 특정 프로그램을 만드는 데 사용할 수 있습니다.

The astropy package contains core functionality and some common tools needed for performing astronomy and astrophysics research with Python.

This package contains the tools that come with astropy:

• fitscheck: Detect and fix FITS standards violations
• fits2bitmap: Create a bitmap file from a FITS image.
• fitsdiff: Compare two FITS image files and report the differences in header keywords and data.
• fitsheader: Print the header(s) of one or more FITS file(s) to the standard output in a human-readable format.
• samp_hub: SAMP Hub Server.
• volint: Check a VOTable file for compliance to the VOTable specification
• wcslint: Check the WCS keywords in a FITS file for compliance against the standards

g3data는 그래프에서 데이타를 추출하는데 사용됩니다. 예를 들어, 과학잡지에 있는 그래프는 보통 실제 데이타의 테이블이 없이 출판됩니다; g3data는 이러한 데이타 추출을 간단하게 처리할 수 있도록 합니다.

Giza is a lightweight scientific plotting library built on top of cairo that provides uniform output to multiple devices. Giza also provides a mostly compatible, modern replacement for the PGPLOT graphics library.

This package contains the development files.

Gmsh는 내장 CAD 엔진 및 후처리기 기능이 있는 3D 유한 요소 그리드 생성기입니 다. 개발 목적은 매개 변수 입력 및 고급 시각화 기능이 있는 빠르면서 경량인 사용자 친화적인 메싱 도구를 제공하는 것입니다. Gmsh는 4개의 모듈로 구성됩니 다: geometry, mesh, solver, post-processing. 이 모듈에 대한 임의 입력 항목 은 그래픽 사용자 인터페이스를 사용해서 대화식으로 하거나 또는 Gmsh의 자체 스크리팅 언어를 사용해서 ASCII 텍스트 파일로 할 수 있습니다.

Gmsh의 기능에 대해 더 자세한 개요는 Gmsh의 레퍼런스 메뉴얼을 보십시요.

GNU Data Language (GDL) is a free IDL (Interactive Data Language) compatible incremental compiler. It has full syntax compatibility with IDL 7.1. IDL is a registered trademark of ITT Visual Information Solutions. From IDL 8.0, the following language elements are supported:

• FOREACH loop
• negative array indices
• garbage collection pointers and objects
• call methods on an object using "." (e. g. object.aMemberProcedure,arg1)

The file input output system is fully implemented. GUI support (widgets) is officially provided, but it's not complete yet.

This package contains the main commandline and interpreter frontend.

Gnuplot is a portable command-line driven interactive data and function plotting utility that supports lots of output formats, including drivers for many printers, (La)TeX, (x)fig, Postscript, and so on. The X11-output is packaged in gnuplot-x11.

Data files and self-defined functions can be manipulated by the internal C-like language. Can perform smoothing, spline-fitting, or nonlinear fits, and can work with complex numbers.

This metapackage is to install a full-featured gnuplot (-qt, -x11 or -nox).

The gphoto2 library can be used by applications to access various digital camera models, via standard protocols such as USB Mass Storage and PTP, or vendor-specific protocols.

This package provides the gphoto2 command-line frontend.

Grace is a point-and-click tool that allows the user to draw X-Y plots. This is the program formerly known as Xmgr.

A few of its features are: User defined scaling, tick marks, labels, symbols, line styles, colors, polynomial regression, splines, running averages, DFT/FFT, cross/auto-correlation, batch mode for unattended plotting, and hardcopy support for PostScript, FrameMaker and several image formats.

Graph drawing addresses the problem of visualizing structural information by constructing geometric representations of abstract graphs and networks. Automatic generation of graph drawings has important applications in key technologies such as database design, software engineering, VLSI and network design and visual interfaces in other domains. Situations where these tools might be particularly useful include:

• you would like to restructure a program and first need to understand the relationships between its types, procedures, and source files
• you need to find the bottlenecks in an Internet backbone - not only individual links, but their relationships
• you're debugging a protocol or microarchitecture represented as a finite state machine and need to figure out how a certain error state arises
• you would like to browse a database schema, knowledge base, or distributed program represented graphically
• you would like to see an overview of a collection of linked documents
• you would like to discover patterns and communities of interest in a database of telephone calls or e-mail messages

This package contains the command-line tools.

Gri는 과학적 그래픽 프로그램을 위한 오픈소스 언어입니다. 포인트/클릭과는 대 조적으로 명령 기반입니다. 일부 사용자는 학습 곡선을 견디기 위한 보상으로 광 범위한 권한을 제공하기 때문에 Gri 이 LaTeX와 유사하다고 합니다. 다른 문서에 포함하기 적합한 산업 표준 포스트스크립트로 출력을 합니다.

Gri는 x-y 그래프, 등고선 그래프, 이미지 그래프를 만들 수 있습니다. 미세 제 어가 그림의 모든 부분에서 제공됩니다, 예. 선너비, 색상, 폰트등. 그리스 문자 와 수학 기호는 Tex와 유사한 문법으로 사용할 수 있습니다.

1000 줄 짜리 Gri 스크립트를 작성하는 사람들은 일반적으로 다음과 같이 간단한 것으로 시작합니다:

 open file.dat      # 파일 오픈
 read columns x * y # 첫번째 열을 x로, 세번째 열을 y로 읽습니다.
 draw curve         # 데이타와 자동 스케일 축을 그립니다.

완전한 메뉴얼은 HTML로 (gri-html-doc 패키지), 출력에 적합한 PDF로 (gri-pdf-doc 패키지), gri 홈 페이지에 다음 링크에서 온라인으로 제공됩니다.

 http://gri.sourceforge.net/

Gwyddion is a modular program for Scanning Probe Microscopy (SPM) data visualization and analysis. It is primarily intended for analysis of height field data obtained by microscopy techniques like

• Atomic Force Microscopy (AFM),
• Magnetic Force Microscopy (MFM),
• Scanning Tunneling Microscopy (STM),
• Near-field Scanning Optical Microscopy (SNOM or NSOM) and others. However, it can be used for arbitrary height field and image analysis.

This package contains the main application and its modules. It also contains a GNOME (and Xfce) thumbnailer which creates previews for all file types known to Gwyddion.

IFRIT (the Ionization FRont Interactive Tool) has its origins (and hence name) in a specialized utility designed to visualize ionization fronts in cosmological numerical simulations. IFRIT, however, has outgrown its origins and now can visualize general data sets as well.

IFRIT is written in C++ and is based on two state-of-the-art toolkits: the Visualization ToolKit (VTK) and a GUI toolkit QT.

It can display, edit, analyze, process, save and print 8-bit, 16-bit and 32-bit images. It can read many image formats including TIFF, GIF, JPEG, BMP, DICOM, FITS and "raw". It supports "stacks", a series of images that share a single window.

It can calculate area and pixel value statistics of user-defined selections. It can measure distances and angles. It can create density histograms and line profile plots. It supports standard image processing functions such as contrast manipulation, sharpening, smoothing, edge detection and median filtering.

Spatial calibration is available to provide real world dimensional measurements in units such as millimeters. Density or gray scale calibration is also available.

ImageJ is developed by Wayne Rasband (wayne@codon.nih.gov), is at the Research Services Branch, National Institute of Mental Health, Bethesda, Maryland, USA.

Imview는 아래의 특징들을 갖는 어플리케이션입니다.

• 다수의 이미지 형식 출력.
• 매우 훌륭한 줌 및 팬 기능을 가지고 2D 또는 3D (슬라이스로) 이미지를 를 출력.
• 다중 스펙트럼, 시간열 또는 다중 페이지 문서(예, 위성 영상, TIFF 스택, 애니메이트 GIF, 이기종 다중 구성 파일들)에서 작동합니다.
• 모든 픽셀 타입 출력 (1 비트에서 64비트 데이타, 정수 또는 부동 소수점).
• 2-D 이미지 (또는 3-D 이미지의 2-D 슬라이스)의 임의 1-D 프로필을 표시할 수 있습니다.
• 모든 픽셀 유형에 대해 임의의 컬러맵을 지원 (예: false colour display)
• 표준 이미지 조작 기능 (밝기/대비, 감마, 확대, 자르기, 회전등).
• 소켓과 텍스트 명령을 통해 리모트로 제어할 수 있습니다 (다양한 이미지 분석 시스템과 쉽게 통합 될 수 있습니다).
• 이미지는 소켓 또는 공유 메모리를 통해서 Imview에 업로드 될 수 있습니다.
• 그외에도 많은 것들이 있습니다!

Kst는 큰 데이타 세트 빠르게 실시간으로 보여주고 플로팅하는 도구입니다. Kst 는 많은 강력한 내장 기능을 포함하고 있으며 플러그인 및 확장기능을 통해 기능 을 확장할 수 있는, 기본 데이타 분석 기능을 갖습니다.

Spectromicroscopy combines spectral data with microscopy, where typical datasets consist of a stack of microscopic images taken across an energy range. Due to the data complexity, manual analysis can be time consuming and inefficient, whereas multivariate analysis tools not only reduce the time needed but also can uncover hidden trends in the data.

Mantis is Multivariate ANalysis Tool for Spectromicroscopy developed in Python by 2nd Look Consulting. It uses principal component analysis and cluster analysis to classify pixels according to spectral similarity.

MayaVi2 is a cross-platform tool for 2-D and 3-D scientific data visualization. Its features include:

• Visualization of scalar, vector and tensor data in 2 and 3 dimensions
• Easy scriptability using Python
• Easy extendability via custom sources, modules, and data filters
• Reading several file formats: VTK (legacy and XML), PLOT3D, etc.
• Saving of visualizations
• Saving rendered visualization in a variety of image formats.

MayaVi2 has been designed with scriptability and extensibility in mind. While the mayavi2 application is usable by itself, it may be used as an Envisage plugin which allows it to be embedded in user applications natively. Alternatively, it may be used as a visualization engine for any application.

This package also provides TVTK, which wraps VTK objects to provide a convenient, Pythonic API, while supporting Traits attributes and NumPy/SciPy arrays. TVTK is implemented mostly in pure Python, except for a small extension module.

이 메타패키지는 의료 이미지 처리 및 시각화에 유용할 수 있는 데비안 패키지를 설치합니다.

한편으로, 의료 이미지 관리의 사실상 표준인 DICOM (Digital Imaging and Communications in Medicine) 및 NIFTI와 같은 다양한 이미지 파일 형식과 이미지 관리를 지원하는 여러 패키지를 설치합니다. 또한 시각화 및 그래픽 사용자 인터페이스, 명령행, 또는 워크플로우에서 구현되는 이미지 처리를 위해 사용될 수 있는 다양한 소프트웨어 패키지를 제공합니다.

ParaView는 크기가 작은것 부터 매우 큰 것까지 매우 다양한 데이타 세트를 시각 화하도록 설계된 오픈소스, 멀티 플랫폼 어플리케이션입니다. ParaView 프로젝트 의 목적은 다음과 같습니다.

• 오픈소스, 멀티 플랫폼 시각화 어플리케이션 개발.
• 대형 데이타 세트 처리를 위한 분산 계산 모델 지원.
• 개방적이며, 유연하고, 직관적인 사용자 인터페이스 생성
• 오픈 표준을 기반으로 확장가능한 아키텍쳐 개발.

ParaView는 분산 및 공유 메모리의 병렬 및 싱글 프로세스 시스템에서 실행되며, Windows, Mac OS X, Linux 그리고 여러 유닉스 워크스테이션, 클러스터 및 슈퍼 컴퓨터에서 성공적으로 테스트가 완료되었습니다. 내부를 보면, ParaView는 데이 타 프로세싱 및 렌더링 엔진으로 시각화 툴킷을 사용하며, Qt를 사용해서 개발된 사용자 인터페이스를 가지고 있습니다.

PDL gives standard perl the ability to COMPACTLY store and SPEEDILY manipulate the large N-dimensional data arrays which are the bread and butter of scientific computing. The idea is to turn perl in to a free, array-oriented, numerical language in the same sense as commercial packages like IDL and MatLab. One can write simple perl expressions to manipulate entire numerical arrays all at once. For example, using PDL the perl variable $a can hold a 1024x1024 floating point image, it only takes 4Mb of memory to store it and expressions like $a=sqrt($a)+2 would manipulate the whole image in a few seconds.

A simple interactive shell (perldl) is provided for command line use together with a module (PDL) for use in perl scripts.

PlotDrop is designed for quick simple visualisation of 2D data series. It is intended to be used in tandem with an external filesystem browser such as GNOME's nautilus or KDE's konqueror. Files containing data are added by dragging them from the browser to the file list.

APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses Matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.

AstroML is a Python 3 module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in Python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.

AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in Python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.

This package contains the performance add-ons of the Python 3 version of the package.

The astropy package contains core functionality and some common tools needed for performing astronomy and astrophysics research with Python. It can be extended by a number of "affiliated packages" that are intended to work with the core package.

Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.

It features:

• object oriented projection definitions
• point, line, polygon and image transformations between projections
• integration to expose advanced mapping in matplotlib with a simple and intuitive interface
• powerful vector data handling by integrating shapefile reading with Shapely capabilities

This package provides the Python 3 library.

This module can list, configure and execute CPL-based recipes from Python3. The input, calibration and output data can be specified as FITS files or as astropy fits objects in memory.

The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit. It forms a basis for the creation of automated astronomical data-reduction tasks.

One of the features provided by the CPL is the ability to create data-reduction algorithms that run as plugins (dynamic libraries). These are called "recipes" and are one of the main aspects of the CPL data-reduction development environment.

Fitsio provides an easy to use object-oriented API including providing a Numpy interface to FITS files read from CFITSIO. It allows direct access to the columns of a FITS binary table which can be useful for reading large fits files. Compared to astropy.io.fits, this package is closer to the underlying cfitsio library.

Fitsio also exposes a microlanguage (implemented in CFITSIO) for making efficient SQL-like queries of tables (single tables only though–no joins or anything like that).

Gammapy is an in-development affiliated package of Astropy that builds on the core scientific Python stack to provide tools to simulate and analyse the gamma-ray sky for telescopes such as CTA, H.E.S.S., VERITAS, MAGIC, HAWC and Fermi-LAT.

GNU 데이터 언어 (GDL)는 자유 IDL (대화형 데이터 언어)와 호환되는 증분 컴파일러입니다. IDL 7.1과 완벽한 구문 호환을 갖습니다. IDL은 ITT Visual Information Solutions의 등록 상표입니다. IDL 8.0부터 아래 요소들이 지원됩니다:

• FOREACH 루프
• 음수 배열 인덱스
• 가비지 수집 포인터 및 오브젝트
• "." 사용해서 개체에 대한 메소드 호출 (예, object.aMemberProcedure,arg1)

파일 입출력 시스템은 아직 완벽하게 구현되지 않았습니다. GUI 지원 (위젯)이 공식적으로 제공되지만, 아직 완료되지는 않았습니다.

이 패키지는 Python 라이브러리/인터페이스를 포함합니다.

Gnuplot.py is a Python module that interfaces to gnuplot, the popular plotting program. It allows you to use gnuplot from within Python to plot arrays of data from memory, data files, or mathematical functions. If you use Python to perform computations or as glue' for numerical programs, you can use this module to plot data on the fly as they are computed. And the combination with Python makes it is easy to automate things, including to create crudeanimations' by plotting different datasets one after another.

The guiqwt Python library provides efficient 2D data-plotting features (curve/image visualization and related tools) for signal/image processing application development and interactive computing. It's based on the scientific modules NumPy and SciPy, and the PyQwt plotting widgets for PyQt4 graphical user interfaces.

This is the Python 3 version of the package.

HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays of a given signal (for example, a 2D array of spectra, also known as a spectrum image).

HyperSpy makes it straightforward to apply analytical procedures that operate on an individual signal to multidimensional arrays, as well as providing easy access to analytical tools that exploit the multidimensionality of the dataset.

Its modular structure makes it easy to add features to analyze many different types of signals.

Imexam is an affiliated package of AstroPy. It was designed to be a lightweight library which enables users to explore data using common methods which are consistent across viewers. It can be used from a command line interface, through a Jupyter notebook or through a Jupyter console. It can be used with multiple viewers, such as DS9 or Ginga, or without a viewer as a simple library to make plots and grab quick photometry information.

Fast, interactive, multi-dimensional image viewer for Python. It's designed for browsing, annotating, and analyzing large multi-dimensional images. It's built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (numpy, scipy).

Python package to parse, read and write Microsoft OLE2 files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), such as Microsoft Office 97-2003 documents, vbaProject.bin in MS Office 2007+ files, Image Composer and FlashPix files, Outlook MSG files, StickyNotes, several Microscopy file formats, McAfee antivirus quarantine files, etc.

Photutils contains functions for:

• estimating the background and background rms in astronomical images
• detecting sources in astronomical images
• estimating morphological parameters of those sources (e.g., centroid and shape parameters)
• performing aperture and PSF photometry

This package contains the Python 3 version of the package.

PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy. It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in Python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fast display.

This is the Python 3 version of the package.

Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.

Some of the features that seaborn offers are

• Several built-in themes that improve on the default matplotlib aesthetics
• Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
• Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
• Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
• A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
• High-level abstractions for structuring grids of plots that let you easily build complex visualizations

This is the Python 3 version of the package.

scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations.

This package provides the Python 3 module.

The specutils package implements base classes and utilities for interacting with astronomical spectra in Python and the Astropy project. It is intended for eventual merger with the astropy package, but for now is being developed independently.

Vispy is a high-performance interactive 2D/3D data visualization library.

Vispy leverages the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets.

This package provides VisPy for the Python 3 interpreter.

Willow is a simple image library that combines the APIs of Pillow, Wand and OpenCV. It converts the image between the libraries when necessary.

Willow currently has basic resize and crop operations, face and feature detection and animated GIF support. New operations and library integrations can also be easily implemented.

Qtiplot는 OriginLab Origin 소프트웨어와 유사한 완벽한 플로팅 소프트웨어입니 다 (Origin에 대한 자세한 내용은 http://www.originlab.com 을 참조하십시요).

데이타 세트와 함수 양쪽 모두에 있어서 출판 품질의 2,3차원 플롯을 만들 수 있 습니다. 비선형 피팅 및 다중 피크 피팅을 할 수 있습니다.

일부 기능들:

• 크로스 플랫폼: Windows, Mac OS X, 리눅스/유닉스 시스템을 기본적으로 지원합니다.
• Python 스크립트 완벽 지원
• OpenGL 기반 3D 플로팅
• 출판 품질 플롯 및 다양한 이미지 형식으로 쉬운 내보내기 (EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF 등등..)
• LaTeX 조판 시스템과의 쉬운 통합
• 열 논리 계산 및 다중 파일의 쉬운 import/export 기능을 갖는 강력하고 다재다능한 스프레드쉬트
• 광범위한 내장 데이타 분석 루틴을 위한 원클릭 엑세스
• 고급 통계 분석: 학생들의 t-Test, ANOVA, 분산에 대한 카이 제곱 테스트, 정규성 테스트 (Shapiro-Wilk)
• 가중치를 갖는 선형 및 비선형 커브 피팅 그리고 적합 매개변수의 통계 오차 추정
• 다중 피크 피팅
• 이미지 분석 도구
• 템플릿 지원: 플롯, 테이블, 메트릭스에 대한 모든 설정은 빠른 편집 프로세스를 위해 저장되고 추후에 복구될 수 있습니다.
• 폴더에 기반한 프로젝트 파일, 드래그 앤 드롭 및 검색 기능을 내장한 강력한 프로젝트 탐색기
• 엑셀 워크북과 Open Document Format 스프레드쉬트, dBase, SQLite 그리고 마이크로소프트 엑세스 데이타베이스 전체 가져오기

RasMol은 단백질, 핵산, 작은 분자의 시각화를 위한 분자 그래프 프로그램입니다. 이 프로그램의 목적은 출판물 품질 이미지의 표시, 교육, 생성입니다.

이 프로그램은 분자 좌표 파일을 읽어서 대화식으로 분자를 다양한 색 구성과 분자 표현으로 화면에 표시합니다. 현재 사용 가능한 표현으로는 depth-cued wireframes, 'Dreiding' sticks, spacefilling (CPK) spheres, ball and sticky, Solid and strand biomolecular ribbons, atom labels, dot surfaces를 포함합니다.

지원되는 입력 파일 형식으로는 Protein Data Bank (PDB), Tripos Associates' Alchemy and Sybyl Mol2 formats, Molecular Design Limited's (MDL) Mol file format, Minnesota Supercomputer Center's (MSC) XYZ (XMol) format, CHARMm format, CIF format and mmCIF format을 포함합니다.

이 패키지는 두개의 RasMol 버젼을 설치합니다. rasmol-gtk는 현대적 GTK 기반의 사용자 인터페이스를 가지고 있으며 rasmol-classic은 오래된 Xlib GUI 버젼입니다.

RELION (for REgularised LIkelihood OptimisatioN) is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy.

RELION provides a GUI, several command-line tools in parallel (MPI) and serial versions, optionally with CUDA/GPU support.

relion provides the serial and parallel (MPI) command-line tools without CUDA/GPU support.

RELION (for REgularised LIkelihood OptimisatioN) is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy.

RELION provides a GUI, several command-line tools in parallel (MPI) and serial versions, optionally with CUDA/GPU support.

relion-gui provides the graphical user interface without CUDA/GPU support.

Bayesian analysis of blinking and bleaching, or 3B microscopy, is a method which analyses data in which many overlapping fluorophores undergo bleaching and blinking events, giving the structure at enhanced resolution. By using a Hidden Markov Model (HMM), it allows useful information to be obtained from data that would be impossible to analyse with standard localisation analysis techniques.

This package contains the command-line tool.

Bayesian analysis of blinking and bleaching, or 3B microscopy, is a method which analyses data in which many overlapping fluorophores undergo bleaching and blinking events, giving the structure at enhanced resolution. By using a Hidden Markov Model (HMM), it allows useful information to be obtained from data that would be impossible to analyse with standard localisation analysis techniques.

This package contains the ImageJ plugin.

Veusz is a 2D and 3D scientific plotting and graphing package, designed to produce publication-ready PDF, SVG, Postscript and bitmap output. Veusz provides a GUI, command line and scripting interface (based on Python) to its plotting facilities. The plots are built using an object-based system to provide a consistent interface.

This package includes the main executable, documentation and examples.

RELION (for REgularised LIkelihood OptimisatioN) is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy.

RELION provides a GUI, several command-line tools in parallel (MPI) and serial versions, optionally with CUDA/GPU support.

relion-cuda provides the serial and parallel (MPI) command-line tools with CUDA/GPU support.

RELION (for REgularised LIkelihood OptimisatioN) is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy.

RELION provides a GUI, several command-line tools in parallel (MPI) and serial versions, optionally with CUDA/GPU support.

relion-gui-cuda provides the graphical user interface with CUDA/GPU support.

MoviePy is a Python library for video editing: cutting, concatenations, title insertions, video compositing (a.k.a. non-linear editing), video processing, and creation of custom effects.