{"id":418,"date":"2017-05-02T16:04:44","date_gmt":"2017-05-02T20:04:44","guid":{"rendered":"https:\/\/geiselmed2.dartmouth.edu\/dartlab\/yeti\/"},"modified":"2025-07-22T16:22:44","modified_gmt":"2025-07-22T20:22:44","slug":"yeti","status":"publish","type":"page","link":"https:\/\/geiselmed.dartmouth.edu\/dartlab\/instruments\/flow-cytometers\/yeti\/","title":{"rendered":"27-color ZE5 (710 Rubin) and YETI (243 Remsen)"},"content":{"rendered":"

The BioRad ZE5 was formerly known as the Propel Labs YETI.<\/p>\n

\"Yeti\"\"\"<\/strong><\/p>\n

The ZE5 Cell Analyzer is a 27-color flow cytometer. \u00a0For more information on the capabilities of the ZE5, click here<\/a>. \u00a0There are two ZE5 Cell Analyzers, one on the DHMC campus in 710 Rubin, and one on the Geisel campus in 243 Remsen. Please contact DartLab staff to arrange for training if you would like to begin using these instruments.<\/p>\n

 <\/p>\n

Data Acquisition Software<\/strong><\/span><\/p>\n

Intuitive Everest software provides automated fluorescence compensation, a fluorochrome selector panel, and a runlist design wizard. Use this software on your computer to pre-configure the instrument settings, staining panels, and samples. \u00a0Integrated training modules, and the ability to analyze files while acquiring saves time and streamlines your workflow. \u00a0Everest software is PC-specific and is available at no charge from DartLab.<\/p>\n

Optical Bench<\/b><\/span><\/p>\n

Each graph depicts a single laser and shows the band width for each detector. \u00a0Be aware of inter-laser spectral overlap in detectors with similar band widths.<\/p>\n

\"Filter<\/p>\n

We have designed this template to download<\/a> and enter fluors when designing a staining panel:<\/p>\n

\"Yeti<\/p>\n

Data Analysis<\/strong><\/span><\/p>\n

\"The high-throughput nature of flow cytometry, combined with the increasing capacity to measure more cell parameters at once, is generating massive and high-dimensional datasets on a routine daily basis. These data can no longer be adequately analysed using the classical, mostly manual, analysis techniques and therefore require the development of novel computational techniques, as well as their adoption by the broad community. Computational flow cytometry is a new discipline that straddles the fields of immunology and computational biology and provides a set of tools to analyze, visualize and interpret large amounts of cell data in a more automated and unbiased way.\"\u00a0Saeys et al., 2016.<\/a><\/p>\n

We recommend FlowJo V.10 for high-dimmensional data analysis. Please consult with us for guidance on data analysis strategies and use of plugins.<\/p>\n

Available Fluorophores<\/span><\/strong><\/p>\n

UV Laser Fluors<\/strong><\/p>\n

BUV395<\/p>\n

AlexaFluor350 (AF350), DAPI, Hoechst-Blue, Indo-hi<\/p>\n

BUV496, Indo-lo<\/p>\n

BUV661<\/p>\n

BUV737, BUV 805, Hoechst-red<\/p>\n

Do not use BUV563<\/em><\/p>\n

\"Yeti<\/strong><\/p>\n

Violet laser fluors<\/strong><\/p>\n

BV421, Cascade Blue<\/p>\n

BV450, Pacific Blue<\/p>\n

BV510, AMCyan, Pacific Orange, Cascade Yellow<\/p>\n

BV605<\/p>\n

BV650<\/p>\n

BV711<\/p>\n

BV786<\/p>\n

\"Filters<\/strong><\/p>\n

Blue laser fluors<\/strong><\/p>\n

Brilliant Blue 515, FITC, AF488, eGFP, eYFP<\/p>\n

PE, PE-Dazzle, PE-CF594, PE-Texas Red (more useful off yellow laser)<\/em><\/p>\n

PerCP-Cy5.5 but do not use PerCP<\/em> (this is an excellent dump PMT)<\/strong><\/p>\n

PE-Cy7\u00a0(more useful off yellow laser)<\/em><\/p>\n

\"Yeti<\/strong><\/p>\n

Yellow laser fluors<\/strong><\/p>\n

PE<\/p>\n

dTomato, DsRed<\/p>\n

PE-Dazzle, PE-CF594, PE-Texas red<\/p>\n

mPlum<\/p>\n

PE-Cy5, PE-AF647<\/p>\n

PE-Cy5.5<\/p>\n

PE-Cy7<\/p>\n

\"Yeti<\/strong><\/p>\n

Red laser fluors<\/strong><\/strong><\/p>\n

APC, AF647, Cy5<\/p>\n

APC-R700, AF680, AF700, DRAQ5, Cy5.5<\/p>\n

APC-Fire750,\u00a0APC-Cy7, APC-H7, AF750<\/p>\n

AF790<\/p>\n

\"Yeti<\/strong><\/p>\n

References<\/strong><\/span><\/p>\n

Start here<\/a> with this excellent slide deck by Jonathan Irish.<\/span><\/p>\n

Methods for discovery and characterization of cell subsets in high\u00a0dimensional mass cytometry data (Diggins et al., 2015<\/a>)<\/span><\/p>\n

Characterizing cell subsets using marker enrichment modeling (Diggins et al., 2017<\/a>)<\/span><\/p>\n

A beginner's guide to analyzing and visualizing mass cytometry data (Kimball et al., 2018<\/a>)<\/span><\/p>\n

 <\/p>\n

\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

The BioRad ZE5 was formerly known as the Propel Labs YETI. The ZE5 Cell Analyzer is a 27-color flow cytometer. \u00a0For more information on the capabilities of the ZE5, click here. \u00a0There are two ZE5 Cell Analyzers, one on the DHMC campus in 710 Rubin, and one on the Geisel [\u2026] <\/p>\n

<\/div>\n

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