Photostimulation-assisted Identification
Photostimulation-assisted Identification - Related Videos
09:50
Mapping Inhibitory Neuronal Circuits by Laser Scanning Photostimulation
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Cited by 6 •
2011
This paper introduces an approach of combining laser scanning photostimulation with whole cell recordings in transgenic mice expressing GFP in limited inhibitory neuron populations. The technique allows for extensive mapping and quantitative analysis of local synaptic circuits of specific inhibitory cortical neurons.
08:09
Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
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Cited by 15 •
2017
Here, the authors present a simple and efficient protocol to define a linear antigenic epitope using a purified monoclonal antibody and peptide scanning through dot-blot hybridization. The identified epitope can then be used in therapeutic and diagnostic applications.
07:43
Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits
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Cited by 6 •
2013
We describe a method for characterizing the functional topography and synaptic properties of forebrain circuits using an optogenetic approach to photostimulate neuronal populations in vitro.
08:34
Robot-assisted Partial Splenectomy
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2026
This protocol describes a robot-assisted partial splenectomy for a benign splenic tumor. The robotic approach optimizes spleen preservation by enhancing surgical precision, minimizing blood loss, and improving postoperative outcomes. Key surgical steps include meticulous splenic hilum dissection, selective vascular ligation, intraoperative ultrasonography, and controlled parenchymal transection.
14:12
Rodent Identification II
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2015
Source: Kay Stewart, RVT, RLATG, CMAR; Valerie A. Schroeder, RVT, RLATG. University of Notre Dame, IN Animal records must be accurately maintained to ensure that data collection is correct. Records range from maintaining information on cage cards to having a detailed database with all of the relevant information on each animal. The primary component of recordkeeping is the individual identification of research animals. There are a variety of methods suitable for identifying mice and rats. This...
FAQs
Opsins make selected neurons responsive to the experimental light stimulus. When those cells are illuminated during a recording, the investigator examines the recorded neuron's electrical or synaptic response. A response supports functional connectivity between the stimulated population and the recorded cell, allowing circuit relationships to be assessed rather than inferred only from anatomical proximity.
The stimulated population can be defined genetically or localized anatomically, so the resulting response is interpreted in relation to that selected group. This design helps distinguish neuronal subtypes and connect their activity with particular circuit elements. The more specifically the population is targeted, the more precisely researchers can associate a measured response with a defined neural pathway.
The method links a controlled light stimulus to activity in selected neurons and to responses recorded elsewhere in the circuit. This controlled perturbation helps researchers evaluate whether activating one circuit element influences another, rather than merely observing correlated activity. Such evidence is particularly relevant when relating circuit organization to behavior or to changes associated with disease mechanisms.
An experiment first selects a neuronal population using genetic criteria or anatomical location and makes that population light responsive through opsins. Researchers then deliver targeted light while recording electrical or synaptic activity from neurons of interest. Finally, they compare the recorded responses with the stimulated population to identify circuit membership or functional input relationships.
Photostimulation-assisted identification can provide evidence about which neurons are connected, whether a recorded cell belongs to a selected subtype, and how circuit elements are organized. Because the measurements focus on responses to stimulation, the results can also support tests of functional influence between populations. These outcomes help build maps of complex neural networks.
The approach is relevant wherever researchers need to connect defined neuronal populations with circuit function. Applications described for this method include sensory processing, motor control, learning, disease mechanisms, and the organization of complex neural networks. In each setting, targeted stimulation and recording can relate cellular responses to specific pathways, subtypes, or behavioral processes.