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bioRxiv · 10.1101/2022.03.23.485524

An open source 16-channel fluidics system for automating sequential fluorescent in situ hybridization (FISH)-based imaging

Abstract

Fluorescent in situ hybridization (FISH) can provide spatial information about DNA/RNA targets in fixed cells and tissues. However, the workflows of multiplexed FISH-based imaging that use sequential rounds of hybridization quickly become laborious as the number of rounds increases because of liquid handling demands. Here, we present an open-source and low-cost fluidics system that is purpose built for automating the workflows of sequential FISH-based imaging. Our system features a fluidics module with 16 addressable channels in which flow is positive pressure-driven and switched on/off by solenoid valves in order to transfer FISH reagents to the sample. Our system also includes a controller with a main printed circuit board that can control up to 120 solenoid valves and allows users to control the fluidics module via serial communication. We demonstrate the automatic and robust fluid exchange with this system by targeting the alpha satellite repeat in HeLa cell with 14 rounds of sequential hybridization and imaging. We anticipate that this simple and flexible system will be of utility to researchers performing multiplexed in situ assays in a range of experimental systems. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/485524v1_ufig1.gif" ALT="Figure 1"> View larger version (75K): org.highwire.dtl.DTLVardef@19812f6org.highwire.dtl.DTLVardef@104e5b5org.highwire.dtl.DTLVardef@84d1acorg.highwire.dtl.DTLVardef@1e19d87_HPS_FORMAT_FIGEXP M_FIG C_FIG Specifications table O_TBL View this table: org.highwire.dtl.DTLVardef@12d112forg.highwire.dtl.DTLVardef@1c3515forg.highwire.dtl.DTLVardef@135ce2org.highwire.dtl.DTLVardef@13709e1org.highwire.dtl.DTLVardef@69bf82_HPS_FORMAT_FIGEXP M_TBL C_TBL

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BibTeXRIS

Deng, Z., Beliveau, B.. 2022-03-23. An open source 16-channel fluidics system for automating sequential fluorescent in situ hybridization (FISH)-based imaging. https://doi.org/10.1101/2022.03.23.485524

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