Jinx

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Author: Stephan Lamont Release Date: Programming Language: Java Net Beans Operating System: Other notes: Use ant to build

Requirements: Java 1.5 or more recent Java Web Start (installed in most modern computers)

Jinx is a tool for segmentation of 3D data sets. It was designed specifically for 3D electron microscopic data sets produced using electron tomography, but may be used for any aligned 3d data set. It is written in Java as a Java Webstart application. Jinx contains the facility for annotating 3D microscopic data using formal ontologies. The current version of Jinx allows the choice of ontologies, including the Neuroscience Information Framework (NIF) ontologies, which includes an extensive ontology for subcellular anatomy of the nervous system based on our Subcellular Anatomy Ontology (SAO)

SLASH 3D Whole Cell Viewer and Model Viewer

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Author:Jeff Bush Release Date:April 2, 2013 Programming Language: WebGL, GWT, JavaScript, PHP Operating System: any system with a WebGL browser (Windows, Linux, Mac, BlackBerry, Android) Other notes: source

Requirements: Browser supporting WebGL: (list as of May 2013) Firefox v4+ (with acceptable graphics card) Chrome v8+ Safari v5.1+ (when enabled in Preferences) Opera v12+ BlackBerry Browser v10+ Opera Mobile v12+ Firefox for Android v19+

The SLASH 3D Viewer is a set of browser-based tools for interactive 3D displays of segmented models in a web browser. Currently there are two versions: the Whole Cell Viewer which is designed for finalized models and the Model Viewer for in-progress models. Both use WebGL, a modern HTML5 technology that allows 3D rendering in browsers without any plugins or anything to install.

 

The Model Viewer displays contours from the SLASH database which other online tools like WIB and SLASH Portal use. It is developed from scratch in GWT using Three.js. Currently supports up to 25,000 contours and most core features.

 

The Whole Cell Viewer displays finalized meshed models, allowing you to simply share a link of your model with other researchers to give them access to your 3D complete with annotations and synonyms. It is based on the open-3D-viewer which the Zygote Body Browser (formerly Google Body Browser) uses. Most work is going into an automated pipeline for converting models (for example from IMOD or SLASH database) into the fully annotated formats that are then searchable. Additionally, links to NeuroLex are being created so that automated and complete synonym lookup is available.

 

Demos are available online at webgl-tests.crbs.ucsd.edu along with movies of examples at webgl-tests.crbs.ucsd.edu/movies/WebGL/.

WinSage

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Author: Raj Singh Release Date: Programming Language: C++ Operating System: Other notes: gcc/Visual studio

Requirements:

Winsage is a Microsoft Windows compatible port (for 32-bit architectures) of the Scalable Adaptive Graphics Environment (SAGE) originally developed at the Electronic Visualization Laboratory at the University of Illinois at Chicago [http://www.evl.uic.edu/cavern/sage/].
SAGE is a graphics streaming architecture for supporting high-resolution, scalable and collaborative scientific visualization environments with potentially hundreds of megapixel of contiguous display resolution. It is primarily designed to be run as a thin middleware on cluster driven tile-displays. It allows users to treat the high-resolution distributed displays as one contiguous desktop where users can move/resize application windows. SAGE is network centric and the applications running on these displays need not run locally. The applications can be run on remote machines or clusters and can stream their pixel framebuffers to SAGE enabled tile-displays.
Winsage was developed at the National Center for Microscopy and Imaging Research under a grant by Microsoft Research. The software has been tested on Windows XP based tile-displays driven by a high-bandwidth backplane (1Gpbs) and bundles in SAGE application binaries/source for remote presentation, large 2D/3D dataset visualization and HD video playback and streaming amongst others.

Cytoseg

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Author: Rick Giuly Release Date: May 2013 (Beta) Programming Language: Python Operating System: Windows, Linux Other notes: source

Requirements: Memory requirements depend on the data size

An open source project for automatic segmentation of neuropil. The goal of the Cytoseg project is to build tools that reduce the manual labor involved with segmentation of nueropil. Modules under development include automatic contour detectors for mitochondrion, vesicle, and cytosol regions. The project is written in Python and uses the pythonxy platform (which includes scipy and ITK image processing tools). Cytoseg is currently in a pre-alpha stage.

SLASH Online Segmentation

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Author:Willy Wong Release Date:April 2, 2013 Programming Language: Java Operating System: Windows, Linux, Mac Other notes: Portal

Requirements: Java 6 GWT 2.1 or above Liferay 5.2

The SLASH Online Segmentation site is an open source project to enable crowdsourced and semi-automatic segmentation of massive 3D datasets, especially light and electron microscopic datasets in the field of biology.

SLASH IMOD Plugins

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Author:Andrew Noske, among others Release Date:April 2, 2013 Programming Language: C/C++ Operating System: Windows, Linux Other notes: source

Requirements: IMOD Memory requirements depend on the data size

Bead Helper Plugin: This plugin is designed to assist in the speedy refinement of fiducial models - allowing the user to quickly identify and correct bad points.
Drawing Tools Plugin: This plugin provides a set of drawing tools which allows you to rapidly draw, modify and erase contours using the 3dmod interface in IMOD.
Interpolator Plugin: This plugin allows for rapid segmentation of surfaces by automatically generating "interpolated" contours between the "key" contours which you have manually drawn.
Livewire: A segmentation technique also known as Intelligent Scissors which allows a user to select regions of interest to be extracted quickly and accurately using a relatively small number of mouse clicks. Written by Jeffrey Bush.
Livewire Grid: (Coming Soon) An extension of Livewire to quickly segment all membranes in a sample. Written by Cory Jones and Jeffrey Bush.
Stereology Plugin: The IMOD Stereology plugin provides an interface for performing rapid stereology on tomographic volumes and/or stacks of images.

Image J Mosaic Plugins

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Authors: Sunny Chow & Hiroyuki Hakozaki Release Date: 6/27/2006 (Ver. 1.1) Programming Language: Java Operating System: Support Windows platform. Tested on Windows XP and Windows Vista. Other notes: Used Ant to build plugin

Requirements: Mimimum Memory: 512 MByte Recommended Memory:1 GByte Storage: 200MByte

This package contains plugins for ImageJ for the assembly of large-scale mosaic images from a collection of overlapping image "tiles." These tiles are produced via synchronized acquisition of images as the sample is rastered over a large area utilizing motorized 3D stages. This plugin package supports manual image offset alignment, automated image offset calculation, image normalization, combining images based on alignment information, and merging three channel RGB images. Although this module is written in Java, there is a Microsoft Windows platform dependency. We currently only support this package on Windows XP Professional and Windows Vista. Details of the image processing strategy is published in following paper: Automated microscopy system for mosaic acquisition and processing. S. K. CHOW, H. HAKOZAKI, D. L. PRICE, N. A. B. MACLEAN, T. J. DEERINCK, J. C. BOUWER, M. E. MARTONE, S. T. PELTIER & M. H. ELLISMAN, Journal of Microscopy Volume 222 Issue 2, Pages 76 – 84.

Mouse Brain Atlas Transformation Services

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Author: Asif Memon Version: 0.6 Programming Language: Operating System: Windows/Linux/MAC Other notes: Use ant to build

Requirements: Java 1.4 or newer release

This collection of web services supports access to several online digital atlases. In the current version, the atlases include the Allen Brain Atlas, the Edinburgh Mouse Atlas Project (EMAP), brain images available registered in the UCSD spatial registry and CCDB, and the WHS (Waxholm Space) reference atlas. Each service contains a set of spatial translations that support coordinate transformations between the WHS space and the coordinate spaces used by individual atlases (including conversions between WHS and ABA voxel space, ABA reference plates, AGEA, and Paxinos/Watson reference plates). Additionally, each service can expose atlas-specific functionality. For example, the service exposing functionality of the Allen Brain Atlas would contain such requests as GetCorrelationMapByPOI, Get2dImageByPOI, GetGenesByPOI, each of them taking coordinates of a point of interest as input. Each service supports a GetCapabilities and DescribeProcess request which can be used to describe the functionality of the service. The services are designed to be called remotely, and are currently called from a 3D atlas integration client developed at UCSD. The services are a component of the digital atlasing infrastructure (DAI) being promoted by INCF, and were initially developed to support an INCF-DAI demonstration at Neuroinformatics'2009.

TxBR

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Authors: Sébastien Phan, Alex Kulongowski, Raj Singh, Masako Terada, James Obayashi and Albert Lawrence Version: 3.0 beta Programming Language: Python, C. Operating System: Linux, MacOsX. Other notes: gcc

Requirements: EPD, GiNaC, openCV, IMOD.

TxBR is an advanced Electron Microscopic Tomography reconstruction software that has been developed to account for the curvilinear nature of electron trajectories, making it suited for the processing of wide field Electron Microscope data. It features enhanced capabilities for performing 3D reconstruction from various schemes of data acquisition, notably multiple tilt series (any number). Versions of the code are also available to accelerate computation of massive data on clusters of CPU and GPU resources. At this time, TxBR does not provide any tracking capabilities. However, micrograph alignment, filtering and backprojection can be done with minimal user interaction. TxBR offers additional features such as image/reconstruction dewarping and flattening that allow for high-quality montaging and Z-stacking of reconstructions. Wiki information on the scientific basis of the code may be found on the NBCR web site.

Convertilizer

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Author: Stephan Lamont Release Date: Programming Language: Java Net Beans Operating System: Other notes: Use ant to build

Requirements: Java 1.5 or more recent Java Web Start (installed in most modern computers)

Convertilizer is a tool for converting between sundry volume and image formats commonly used at NCMIR, including IMOD, Suprim, Analyze 7.5, and TIFF. It can produce image stacks, where the format permits, or take apart an image stack into separate files. It also has a facility for making Quicktime (.MOV) movies from stacks or series of images.

NCMIR Detector and IVEM Automation+Plug-ins for SerialEM

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Author: Tomas Molina and Yukiko Hakozaki Release Date: Summer 09 Programming Language: C++/MFC Operating System: Windows only Other notes:

Requirements: Windows Operating System.

This package contains NCMIR developed plugins to the open-source SerialEM software developed and distributed by The Boulder Laboratory For 3-D Electron Microscopy of Cells, Boulder Colorado. SerialEM is a Windows based program used to acquire electron microscopic tomography (tilt-series) data on FEI and JEOL microscopes. These custom plugins enable the integration and automated control of NCMIR fielded OEM and custom digital imaging detectors (TVIPS, Gatan Inc., Spectral Instruments, Direct Electron) with SerialEM. These plugins further integrate custom control features of NCMIR’s transmission electron microscopes (e.g., stages, specimen holders, etc.) with SerialEM.

Telemicroscopy

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Author: Tomas Molina Release Date: 2008 Programming Language: C# Operating System: Other notes: Documentation in Fogbugs and xwiki

Requirements:

A .NET based software application was developed to remotely control NCMIR’s Jeol 3200 energy filtered electron microscope. COM packages were written to “wrap” instrument and imaging control around the microscope so as to easily expose control as simple interfaces within a C# application. Users can manipulate such parameters as magnification, brightness, focus, and condenser beam shifts. Users can also manipulate the goniometer of the electron microscope by changing such parameters as x,y,z, and tilting the specimen from \-60 to \+60 degrees. Real time video of the screen image of the microscope is provided along with a 4k x 4k high resolution image provided by our CCD cameras. Users are able to mouse click on various locations of the x,y stage and can quickly navigate large areas for surveying the specimen of study. The .NET Telemicroscopy C# application was demonstrated at SuperComputing.

CCDB Portlets

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Author: Willy Wong Programming Language: Java 6 Operating System:Unix or Windows Other notes: Use ant to build, Liferay

Requirements: Liferay 5.2 or above Java 6 Ant build

The MyCCDB portal is community software for managing and sharing high resolution light and electron microscopic data. The CCDB divides the process of data entry into different stages, each with its own set of data input forms. 1) Microscopy Product Registration form assigns a unique ID to each “microscopy product”. The microscopy product is used to describe a set of related images. These images may be related in a systematic way, e.g., tilt series, optical section series, serial section, time series, mosaic, or they may be a set of survey images that were taken of the same specimen at the same time. The microscopy product ID serves as the accession number for a data set. Microscopy product ID’s can be obtained before any imaging data is acquired. Because the ID is unique, any data products labeled with this ID, e.g., negatives, can be associated with the appropriate set of details. 2) This Detailed Data input form handles the data input for more detailed data of a microscopy product, such as imaging information reconstruction and segmentation data... and it also provides users with the ability to upload data files for the datasets. Users will be able to select a pre-registered microscopy product and create a detailed dataset from the existing microscopy product. 3) The detailed Specimen Preparationform can be used to define a structured protocol recording the steps used to prepare a specimen in the order in which they were performed. It is also required for assigning a molecular localization or stain to a particular channel for light microscopy. The specimen preparation forms are still in beta testing, i.e., they are not considered production level, but should be used in order to provide feedback for the final production release. 4) The CCDB upload Tool allows users to upload multiple types of files at once into multiple forms, rather than having to upload each file individually. The tool also will recognize file types if they are named according to the CCDB naming convention and place them in the correct fields. If your laboratory needs a data management tool for the light and electron microscopic data, the MyCCDB portal is a open source software for you to use or to extend.

CCDB Schema

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Author: Willy Wong Release Date:5/1/2013 Programming Language:PostgreSQL Other notes:PostGIS is required

Requirements: PostgreSQL 8.3 or above PostGIS package

The current schema contains over 200 tables which include experimental, imaging, and reconstruction details as well as the results of any analysis of morphological and protein localization data. An overview of the schema organization is shown. All steps of 3D reconstruction are modeled in the database, from specimen preparation to the final analysis. The images are stored separately from the descriptive data, using the Storage Resource Broker for storage and retrieval of the image data sets. Oracle was chosen as a platform because its Object Relational modeling capability allows us to program any analysis or data comparison methods into the database itself. This functionality allows us to move beyond simple retrieval queries to allow us, for example, to create a “compare two protein distributions” function that runs as an integral method from within the database.

2D Image Server

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Author: Asif Memon Release Date: Programming Language:Java Operating System: Other notes:Use ant to build, ArcIMS

Requirements:

This software enables client applications to communicate with remote map servers that serve 2D brain data. Currently, the servers include ESRI ArcIMS Server and the open source Minnesota MapServer. The Java wrapper supports requesting images or image fragments from these servers, taking as input the image server address, respective service name, and image fragment coordinates. The coordinates are expected to follow a coordinate system of the image as recorded in spatial registry. It is also expected that the image is warped to a canonical reference space, and registered to one of pre-defined coordinate systems (e.g. ABA reference plates, Paxinos and Watson reference plates). The software is downloadable as a single jar file. It is intended to be incorporated in a client application. In addition, both the spatial registry and servers are exposed as web services.

CCDB ID Generator

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Author: Tomas Molina Release Date: Programming Language:VC++ 10.0 Operating System:Windows Other notes:To set up the software on a scope contact Vadim Astakhov at astakhov@ncmir.ucsd.edu

Requirements: .Net lib for VC ++ 10.0

This software installed and configured for any EM, LM and X-ray microscopes at NCMIR. Software provide an user with Graphical User Interface to create/select project/experiment and provide information related to experiment set-up. CCDB ID generator will store this information together with microscope settings in CCDB database. It will generate unique ID for the session and will generate state messages for NCMIR data flow whenever data available to be migrated of the scope machine. Binary can be found here:    https://confluence.crbs.ucsd.edu/pages/doattachfile.action?pageId=12648565/CCDB_ID_Generator.zip

NCMIR Kepler based workflows

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Contact Author: Vadim Astakhov; Alex Kulungouski, Rick Giuly, Willy Wong Release Date: Programming Language:Java 1.6 Operating System:Windows/Linux/Mac OS Other notes:To set up the software send a request to astakhov@ncmir.ucsd.edu

Requirements: Kepler Java 1.6

This package was develop to provide set of unified templates for various workflows utilized in image processing at NCMIR. The package contains an examples of workflows for data management, image processing by TxBR software, image segmentation by Cytoseg software and image processing on SGI cluster. Those examples meant as templates for various use-cases and can be easely tuned for specific configurations. Workflow templates can be found here: https://confluence.crbs.ucsd.edu/pages/doattachfile.action?pageId=12648565/NCMIR_Kepler_flows.zip

NCMIR ESB (Enterprise Service Bus) messaging framework

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Contact Author: Vadim Astakhov, Larry Lui Release Date: Programming Language: Python/Java 1.6 Operating System:Windows/Linux/Mac OS Other notes:To set up the software send a request to astakhov@ncmir.ucsd.edu

Requirements: Python Java 1.6 AMQP/RabbitMQ

This package was develop to provide set of wrapper for Python/Java applications to utilize Enterprise Service Bus architecture suggested to orchestrate over all CRBS infrastructure and integrate NCMIR services with INCF, NIF and WBC projects. Main component of that infrastructure was messaging buss which was intended to provide main back bone for various applications to communicate over AMQP (advance message queue protocol) protocol AMQP server (RabbitMQ) installed here: http://twisted.crbs.ucsd.edu:55672/#/ The source code for Python/Java wrappers can be found here: https://confluence.crbs.ucsd.edu/pages/doattachfile.action?pageId=12648565/NCMIR_ESB_components.zip

NCMIR data management (MapReduce) flow

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Contact Author: Vadim Astakhov, Larry Lui Release Date: Programming Language:Java 1.6 Operating System:Linux Other notes:To set up the software send a request to astakhov@ncmir.ucsd.edu

Requirements: Java 1.6 Hadoop HIPI

This package provides an set of open source utilities for data storage management when data get duplicated by various users during their processing. Often those copies of identical data (mainly images) can have different URIs and semantical information is not carried around in a way to quickly detect identical copies. To maintain the system and optimize data storage we introduced MapReduce approach where "Mapping" step incapsulate finding MD5 for each image file and "Reduce" perform removal of duplicates. Also, we provide a set of utilities to perform image processing on Hadoop cluster to identified common features across images. Hadoop cluster was set up here:   http://iguana.crbs.ucsd.edu:50070/dfshealth.jsp http://iguana.crbs.ucsd.edu:50030/jobtracker.jsp   The code templates (java) can be found here: https://confluence.crbs.ucsd.edu/pages/doattachfile.action?pageId=12648565/NCMIR_dataManagementMapReduce.zip

Mediator

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Author: Vadim Astakhov; Edward Ross; David R. Little Release Date: Programming Language: Java Operating System: Other notes:

Requirements:

System consists of a data integration server; an API for schema registration, view definition and query building;clients for registration, view definition and query composition; clients for semantic data mapping and query; a number of domain-specific clients that have incorporated access to the data integration environment (e.g. the Mouse BIRN Atlas Tool); and a set of tree\- and graph-structured ontologies and ontology-data mappings. The latter provides the necessary semantic information, tied to external ontologies, so that integrated queries can be executed across the sources.In the current global as view (GAV) setting of the system, the burden of creating proper integrated views over data sources is on the integration specialist who works with the domain scientists to capture the requirements of the application at hand. This often leads to the pragmatic problem that the relationships between attributes disclosed by different sources and between data values are, quite often, not obvious. To account for this, the system has created additional mapping relations. Currently there are three kinds of mapping relations. 1) The ontology-map relation that maps data-values from a source to a term of a recognized ontology. 2) A joinable relation links attributes from different relations if their data types and semantic types match. We have also developed a Concept Mapping client to assist in the creation of mapping entries in the term-index-source (TIS) at the time of source registration. The data integration environment has a specific source called the term-index-source that maintains a mapping between data from registered sources and ontological terms defined in various ontologies. 3) The value-maprelation maps a Mediator-supported data value or a Mediator-supported attribute-value pair to the equivalent attribute-value pair disclosed by the source. For example, the Mediator may disclose a demographic attribute called "gender" with values (male, female), while a source may refer to "sex" with values (0, 1), while another source, with its own encoding scheme may call it "kcr_s57" with values (m, f). This is used by the system to preprocess queries. TIS is a relational database and programmatic API which provide mechanism for mapping distributed data to standard ontological concepts.