Standardized Workflow for High-Content Imaging and Data Processing.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Standardized Workflow for High-Content Imaging and Data Processing.
Συγγραφείς:	Liu X; College of Medical Technology, Chengdu University of Traditional Chinese Medicine., Wang Y; Innovative Institute of Chinese Medicine and Pharmacy/Institute of Interdisciplinary Studies, Chengdu University of Traditional Chinese Medicine; 20152056@cdutcm.edu.cn., Tan Z; School of Life Science and Technology, Southeast University.
Πηγή:	Journal of visualized experiments : JoVE [J Vis Exp] 2026 Aug 21 (234). Date of Electronic Publication: 2026 Aug 21.
Τύπος έκδοσης:	Journal Article; Video-Audio Media; Research Support, Non-U.S. Gov't
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE
Imprint Name(s):	Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]-
Ιατρικοί όροι (MeSH):	Image Processing, Computer-Assisted/methods , Image Processing, Computer-Assisted/standards, Benzimidazoles/chemistry ; Staining and Labeling/methods ; Staining and Labeling/standards ; Animals ; Mice ; Workflow
Περίληψη:	To address the challenges of low reproducibility due to operational variations in scientific research imaging and the complexity of analyzing a large number of samples using conventional methods, we introduce a protocol for staining HT22 cells with PI and Hoechst 33342 and then imaging and analyzing the data using the High-Content Imaging System. This workflow aims to establish robust imaging setting parameters and stringent quality control standards. It demonstrates the instrument's imaging settings and the workflow for three different image processing methods provided by the instrument: Multi-Wavelength Cell Scoring (Multi), Live-Dead (Live), and Custom Module Editor (CME). The image processing methods are compared and validated against the traditional method, ImageJ, to ensure their effectiveness. The study ultimately summarizes a workflow for using the High-Content Imaging System to determine cell viability using the PI and Hoechst double-staining method. By standardizing the entire imaging and data processing workflow, the study significantly enhances the reproducibility and reliability of scientific research imaging, thereby providing solid methodological support for cross-laboratory data comparison and advancing scientific research.
Substance Nomenclature:	P976261J69 (bisbenzimide ethoxide trihydrochloride) 0 (Benzimidazoles)
Entry Date(s):	Date Created: 20260822 Date Completed: 20260822 Latest Revision: 20260907
Update Code:	20260907
DOI:	10.3791/71863
PMID:	42631612
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	1940-087X
DOI:	10.3791/71863