It’s always funny to see that the “old” maximum intensity projection is so used in picture reconstruction. Even if we all know artefacts created by this method, we often prefer a parameter free tool … In this article, a new way to do the 3D to 2D reduction is presented, the smooth manifold extraction, and it is compared to others one.

Three-dimensional fluorescence microscopy followed by image processing is routinely used to study biological objects at various scales such as cells and tissue. However, maximum intensity projection, the most broadly used rendering tool, extracts a discontinuous layer of voxels, obliviously creating important artifacts and possibly misleading interpretation. Here we propose smooth manifold extraction, an algorithm that produces a continuous focused 2D extraction from a 3D volume, hence preserving local spat

Source: Smooth 2D manifold extraction from 3D image stack | Nature Communications


Grégory MAUBON

Grégory MAUBON is Chief Data Officer and digital coordinator at HCS Pharma, a biotech startup focused in high content screening and complex diseases. He manages IT missions and leads digital usages linked to company needs. He is also a Augmented Reality Evangelist (presenter and lecturer) since 2008, where he created www.augmented-reality.fr and founded in 2010 RA'pro (the augmented reality promotion association). He helped many companies (in several domains) to define precisely their augmented reality needs and supported them in the implementation.

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