Integration of autopatching with automated pipette and cell detection in vitro
| العنوان: | Integration of autopatching with automated pipette and cell detection in vitro |
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| المؤلفون: | Brendan M. Callahan, Rachael L. Neve, Zhaolun Su, Craig R. Forest, Alexander A. Chubykin, Edward S. Boyden, Hongkui Zeng, Qiuyu Wu, Ilya Kolb, William A. Stoy, Suhasa B. Kodandaramaiah |
| المصدر: | Journal of Neurophysiology. 116:1564-1578 |
| بيانات النشر: | American Physiological Society, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Male, 0301 basic medicine, Patch-Clamp Techniques, Time Factors, Physiology, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Mice, Transgenic, Tissue Culture Techniques, User-Computer Interface, 03 medical and health sciences, 0302 clinical medicine, Automated patch clamp, Computer Graphics, Image Processing, Computer-Assisted, Animals, Computer vision, Patch clamp, ComputingMethodologies_COMPUTERGRAPHICS, Fluorescent Dyes, Visual Cortex, Automation, Laboratory, Neurons, business.industry, General Neuroscience, Pipette, Immunohistochemistry, Mice, Inbred C57BL, 030104 developmental biology, Microscopy, Fluorescence, Calibration, Innovative Methodology, Female, Artificial intelligence, business, Algorithms, 030217 neurology & neurosurgery |
| الوصف: | Patch clamp is the main technique for measuring electrical properties of individual cells. Since its discovery in 1976 by Neher and Sakmann, patch clamp has been instrumental in broadening our understanding of the fundamental properties of ion channels and synapses in neurons. The conventional patch-clamp method requires manual, precise positioning of a glass micropipette against the cell membrane of a visually identified target neuron. Subsequently, a tight “gigaseal” connection between the pipette and the cell membrane is established, and suction is applied to establish the whole cell patch configuration to perform electrophysiological recordings. This procedure is repeated manually for each individual cell, making it labor intensive and time consuming. In this article we describe the development of a new automatic patch-clamp system for brain slices, which integrates all steps of the patch-clamp process: image acquisition through a microscope, computer vision-based identification of a patch pipette and fluorescently labeled neurons, micromanipulator control, and automated patching. We validated our system in brain slices from wild-type and transgenic mice expressing channelrhodopsin 2 under the Thy1 promoter (line 18) or injected with a herpes simplex virus-expressing archaerhodopsin, ArchT. Our computer vision-based algorithm makes the fluorescent cell detection and targeting user independent. Compared with manual patching, our system is superior in both success rate and average trial duration. It provides more reliable trial-to-trial control of the patching process and improves reproducibility of experiments. |
| تدمد: | 1522-1598 0022-3077 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fcc6ee487c2e3a7d000b644b7ff5bfbTest https://doi.org/10.1152/jn.00386.2016Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....0fcc6ee487c2e3a7d000b644b7ff5bfb |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15221598 00223077 |
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