Browse our Tools and Resources

The DIAMonDS can automatically and sequentially identify time points of multiple life cycle events such as pupariation, eclosion, and death in individual flies at high temporal resolution and large scale.

Two optically transparent substrates enable the exploration of the ecophysiology and spatiotemporal organization and activities of bacteria and fungi within heterogeneous soil-like environments.

An open-source user-friendly toolbox implementing machine learning for single-molecule FRET analysis enabling experts and non-experts to reproducibly provide dynamic structural biology insights.

Automated liquid handling, whole mount staining, and clearing allow unbiased 3D quantitation of cell markers in human neural organoids with diameters of up to 1 mm at the single-cell level.

Correlative imaging of the heart at multiple spatial scales has the potential to revolutionize the way we understand deficiencies in congenital heart disease.

Hypoplastic left heart syndrome is reflected by reduced proliferative capacity of patient iPSC-derived cardiomyocytes and requires the activity of LRP2/APOB proteins, likely in conjunction with SHH and WNT signaling pathways.

Light-sensitive allosteric switch module, a broadly applicable protein engineering method, is used for the regulation of protein activity with tight temporal control and spatial precision.

A mouse mutant in which nearly all dentate gyrus granule cells fail to develop provides a new window on the role of the dentate gyrus in spatial learning and memory.

Extensive mass spectrometry-based profiling of polar metabolites within synaptic vesicles that are rapidly isolated either from cultured mouse neurons or directly from mouse brains reveals their neurotransmitter composition.

In mitotically aging yeast cells, the cytosol acidifies, the distances between the organellar membranes decrease dramatically, but crowding on the scale of the average size protein is relatively stable.