Impediments to computational analysis in cytometry

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Impediments to computational analysis in cytometry

Thank you for taking this survey. It will take about 3 minutes.

We are seeking feedback from people with all levels of experience (or not) with computational analysis of cytometry data. We aim to identify the barriers and pain points preventing users from adopting computational analytical tools, to develop solutions to overcome such obstacles.

The collected results will be presented at the CYTO conference in Montreal, during the workshop: "Overcoming analysis paralysis: How to break into the high-dimensional cytometry data analysis space" that will take place on Monday May 22nd at 3:45PM in room 510A.

Where did you learn about this survey:

Colleague/referral

CyTOF Summit

ISAC/CYTO communication

Purdue Flow List communication

Cytoforum post

ABRF conference

French cytometry society

Northwest Flow Cytometry Society

Other:

Which best describes your role:

Research technician

Scientist

PI/group leader

Grad student

Post-doc

SRL/core director/manager

SRL/core staff

Bioinformatician

Other:

Clear selection

Rate your experience with the following analyses:

Never tried it

Tried without success

Used with success

Manual gating

Plugins in commercial packages (e.g. FlowJo, FCS Express) for dimensionality reduction and/or clustering

Cloud/web-based platforms (e.g. Cytobank , OMIQ) for dimensionality reduction and/or clustering

Open-source code/packages/tools (e.g. Spectre, Cytosplore)

Developing own tools/pipelines (e.g. R, Python)

Outsourced analysis (e.g. bioinformatics core, bioinformatics service provider)