Image registration

Image registration is the process of transforming different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different sensors/imaging modalities, at different times, from different view points, etc. . Registration can be based on correspondence established between the landmarks or feature points. Alternatively, some similarity/distance metric is established between the image intensity maps to navigate the registration process.

Synonyms
Image alignment

ViBE-Z

Collection
Description

The Virtual Brain Explorer (ViBE-Z) is a software that automatically maps gene expression data with cellular resolution to a 3D standard larval zebrafish (Danio rerio) brain. It automatically detects 14 predefined anatomical landmarks for aligning data. It also offers a database and atlas. The ViBE-Z database, atlas and software are provided via a web interface. A data preparation step is needed in order to provide the right input data and format.

has topic
Bioimage informatics
Confocal fluorescence microscopy
Multimodal imaging
has function
Image registration
Deformable registration
need a thumbnail

Morpholeaf

Component
Description

The MorphoLeaf application allows you to extract the contour of multiple leaf images and identify their biologically-relevant landmarks. These landmarks are then used to quantify morphological parameters of individual leaves and to reconstruct average leaf shapes. MorphoLeaf is developed by the Modeling and Digital Imaging and the Transcription Factors and Architecture teams of the Institut Jean-Pierre Bourgin, INRA Versailles, France, and the Biophyscis and Development group at RDP, Lyon.

has topic
Bioimage informatics
has function
Image registration
Image feature detection

3D segmentation (reconstruction) and modeling using Free-D

Workflow
Description

Free-D (http://free-d.versailles.inra.fr/) is a 3D reconstruction and modeling software. It is multiplatform, free (but not open source) tool for academic research and teaching.

Here is how to proceed, using Free-D:

1. Segmentation:

* load (a collection of) individual 3d stacks

* (optional for serial sections) perform a 2D registration to align image slices

* segment/reconstruct 3D contours using snakes

* segment 3D spots

2. Construct average cell:

* normalize the contours to compute a average cell, by registering/warping 3D contours/surfaces

3. Quantification:

* project each individual cell to the average one

* build density maps to analyze (cartography)

A few notes for current software version (till 10/2016):

* input file format: tiff (not able to import bioformats)

* currently results are saved in customized format, but there is an exportor to convert this format into fiji readable one

* import already generated contours is on the software's TODO list

has function
Image registration
Analysis
Image segmentation
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MultiStackReg

Component
Description

This ImageJ plugin aligns the slices of a stack just like the stackreg plugin on which it is built. It allows to save the transformations and to apply them to another stack. It furthermore allows to register two stacks.

has topic
Imaging
Electron microscopy
Light microscopy
has function
Alignment construction
Image registration
need a thumbnail

Correct 3D drift

Component
Description

Rigid registration of time series in 3D. A video tutorial is available (be careful of sounds, the video automatically starts!): [Sample Drift Correction Following 4D Confocal Time-lapse Imaging](http://www.jove.com/video/51086/sample-drift-correction-following-4d-co…)

has topic
Live sample imaging
Fluorescence microscopy
Confocal microscopy
has function
Image registration
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