Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators

Imaging approach for monitoring cellular metabolites and ions using genetically encoded biosensors

The spatiotemporal patterns of ion and metabolite levels in living cells are important in understanding signal transduction and metabolite flux. Imaging approaches using genetically encoded sensors are ideal for detecting such molecule dynamics, which are hard to capture otherwise. Recent years have seen iterative improvements and evaluations of sensors, which in turn are starting to make applications in more challenging experimental settings possible. In this review, we will introduce recent progress made in the variety and properties of biosensors, and how biosensors are used for the measurement of metabolite and ion in live cells. The emerging field of applications, such as parallel imaging of two separate molecules, high-resolution transport studies and high-throughput screening using biosensors, will be discussed.

Computational processing of optical measurements of neuronal and synaptic activity in networks

Imaging of optical reporters of neural activity across large populations of neurones is a widely used approach for investigating the function of neural circuits in slices and in vivo. Major challenges in analysing such experiments include the automatic identification of neurones and synapses, extraction of dynamic signals, and assessing the temporal and spatial relationships between active units in relation to the gross structure of the circuit. We have developed an integrated set of software tools, named SARFIA, by which these aspects of dynamic imaging experiments can be analysed semi-automatically. Key features are image-based detection of structures of interest using the Laplace operator, determining the positions of units in a layered network, clustering algorithms to classify units with similar functional responses, and a database to store, exchange and analyse results across experiments. We demonstrate the use of these tools to analyse synaptic activity in the retina of live zebrafish by multi-photon imaging of SyGCaMP2, a genetically encoded synaptically localised calcium reporter. By simultaneously recording activity across tens of bipolar cell terminals distributed throughout the IPL we made a functional map of the ON and OFF signalling channels and found that these were only partially separated. The automated detection of signals across many neurones in the retina allowed the reliable detection of small populations of neurones generating “ectopic” signals in the “ON” and “OFF” sublaminae. This software should be generally applicable for the analysis of dynamic imaging experiments across hundreds of responding units.

Genetically encoded probes for measurement of intracellular calcium

Small, fluorescent, calcium-sensing molecules have been enormously useful in mapping intracellular calcium signals in time and space, as chapters in this volume attest. Despite their widespread adoption and utility, they suffer some disadvantages. Genetically encoded calcium sensors that can be expressed inside cells by transfection or transgenesis are desirable. The last 10 years have been marked by a rapid evolution in the laboratory of genetically encoded calcium sensors both figuratively and literally, resulting in 11 distinct configurations of fluorescent proteins and their attendant calcium sensor modules. Here, the design logic and performance of this abundant collection of sensors and their in vitro and in vivo use and performance are described. Genetically encoded calcium sensors have proved valuable in the measurement of calcium concentration in cellular organelles, for the most part in single cells in vitro. Their success as quantitative calcium sensors in tissues in vitro and in vivo is qualified, but they have proved valuable in imaging the pattern of calcium signals within tissues in whole animals. Some branches of the calcium sensor evolutionary tree continue to evolve rapidly and the steady progress in optimizing sensor parameters leads to the certain hope that these drawbacks will eventually be overcome by further genetic engineering.

Lighting up neural networks using a new generation of genetically encoded calcium sensors

Two improved genetically encoded calcium indicators-based on structure-guided sensor design or on precise subcellular targeting to presynaptic boutons-allow single spikes to be detected in genetically defined populations of neurons and synapses in vivo.

Electrophysiology in the age of light

Electrophysiology, the 'gold standard' for investigating neuronal signalling, is being challenged by a new generation of optical probes. Together with new forms of microscopy, these probes allow us to measure and control neuronal signals with spatial resolution and genetic specificity that already greatly surpass those of electrophysiology. We predict that the photon will progressively replace the electron for probing neuronal function, particularly for targeted stimulation and silencing of neuronal populations. Although electrophysiological characterization of channels, cells and neural circuits will remain necessary, new combinations of electrophysiology and imaging should lead to transformational discoveries in neuroscience.