Unsupervised content-preserving transformation for optical microscopy

Unsupervised fluorescence lifetime imaging microscopy for high content and high throughput screening.

Proteomics and cellomics clearly benefit from the molecular insights in cellular biochemical events that can be obtained by advanced quantitative microscopy techniques like fluorescence lifetime imaging microscopy and Förster resonance energy transfer imaging. The spectroscopic information detected at the molecular level can be combined with cellular morphological estimators, the analysis of ce...

Preserving elemental content in adherent mammalian cells for analysis by synchrotron‐based x‐ray fluorescence microscopy

Trace metals play important roles in biological function, and x-ray fluorescence microscopy (XFM) provides a way to quantitatively image their distribution within cells. The faithfulness of these measurements is dependent on proper sample preparation. Using mouse embryonic fibroblast NIH/3T3 cells as an example, we compare various approaches to the preparation of adherent mammalian cells for XF...

Entropy-Preserving Transformation Method

Scalable Unsupervised Domain Adaptation for Electron Microscopy

While Machine Learning algorithms are key to automating organelle segmentation in large EM stacks, they require annotated data, which is hard to come by in sufficient quantities. Furthermore, images acquired from one part of the brain are not always representative of another due to the variability in the acquisition and staining processes. Therefore, a classifier trained on the first may perfor...

Connectivity Preserving Voxel Transformation

A three dimensional digital binary image is B26 connected if its set of black voxels is 26-connected, i.e. for all black voxels there exists at least one black voxel among its 26 neighbors. We show that any two such images I and J of c1 and c2 number of connected components respectively and n voxels each, can be transformed into one another maintaining the B26 connectivity of the black voxels b...