Automated high-throughput mouse transsynaptic viral tracing using iDISCO+ tissue clearing, light-sheet microscopy, and BrainPipe.

التفاصيل البيبلوغرافية
العنوان:	Automated high-throughput mouse transsynaptic viral tracing using iDISCO+ tissue clearing, light-sheet microscopy, and BrainPipe.
المؤلفون:	Pisano TJ; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Hoag AT; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Dhanerawala ZM; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Guariglia SR; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Jung C; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Boele HJ; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA.; Department of Neuroscience, Erasmus University Medical Center, Rotterdam, the Netherlands., Seagraves KM; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Verpeut JL; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA., Wang SS; Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA.
المصدر:	STAR protocols [STAR Protoc] 2022 Apr 14; Vol. 3 (2), pp. 101289. Date of Electronic Publication: 2022 Apr 14 (Print Publication: 2022).
نوع المنشور:	Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
اللغة:	English
بيانات الدورية:	Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE
أسماء مطبوعة:	Original Publication: [Cambridge, MA] : Cell Press, [2020]-
مواضيع طبية MeSH:	Brain/diagnostic imaging , Cerebellum, Animals ; Mice ; Microscopy, Fluorescence/methods ; Software
مستخلص:	Transsynaptic viral tracing requires tissue sectioning, manual cell counting, and anatomical assignment, all of which are time intensive. We describe a protocol for BrainPipe, a scalable software for automated anatomical alignment and object counting in light-sheet microscopy volumes. BrainPipe can be generalized to new counting tasks by using a new atlas and training a neural network for object detection. Combining viral tracing, iDISCO+ tissue clearing, and BrainPipe facilitates mapping of cerebellar connectivity to the rest of the murine brain. For complete details on the use and execution of this protocol, please refer to Pisano et al. (2021). Competing Interests: The authors declare no competing interests. (© 2022 The Author(s).)
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معلومات مُعتمدة:	F31 NS089303 United States NS NINDS NIH HHS; R01 MH115750 United States MH NIMH NIH HHS; R01 NS045193 United States NS NINDS NIH HHS; U19 NS104648 United States NS NINDS NIH HHS
فهرسة مساهمة:	Keywords: Bioinformatics; Computer sciences; Microscopy; Neuroscience
تواريخ الأحداث:	Date Created: 20220502 Date Completed: 20220503 Latest Revision: 20240515
رمز التحديث:	20240515
مُعرف محوري في PubMed:	PMC9038781
DOI:	10.1016/j.xpro.2022.101289
PMID:	35496792
قاعدة البيانات:	MEDLINE

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تدمد:	2666-1667
DOI:	10.1016/j.xpro.2022.101289