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A novel live-cell mRNA imaging technology identifies individual living cells based on their gene expression and enables the concurrent study of their physiology.

A facile method is implemented to modify membrane proteins with biophysical reporters using cysteine-independent approaches in live cells.

Conditional gene knockout in combination with fluorescent labeling of different alleles can be achieved with high efficiency in zebrafish through NHEJ-mediated targeted insertion using a CRISPR/Cas system.

DeepFly3D, a deep learning-based software, measures limb and appendage movements in tethered, behaving Drosophila and enables precise behavioral measurements during neural recordings, stimulation, and other biological experiments.

A new measure for cross-frequency coupling assesses phase-amplitude coupling and amplitude-amplitude coupling, and accounts for confounding factors such as low-frequency amplitude fluctuations, using a flexible statistical modeling approach.

Fluorescence lifetime imaging microscopy, paired with fluorescent, voltage-sensitive dyes, provides a method for measuring and quantifying membrane potentials of living cells.

Opioid sensitive neurons were identified using a traceless affinity labeling strategy to covalently label endogenous mu-opioid receptors with fluorescent compounds in living brain slices from wild type animals.

The changes in the skeletal muscle proteome with age indicate the roots of the decline in muscle function with age.

Caenorhabditis elegans has bona fide dendritic spines, suggesting that the advantages of small model organisms, such as genetic manipulations and live-cell imaging, can be exploited to study dendritic spines.

Using different sets of input sequences to evolutionary reconstruction algorithms results in the exploration of many possible models, the intergration over which produces significantly more accurate models.