Close Menu

NEW YORK (GenomeWeb) – Startup mFluiDx — a portmanteau of "microfluidics" and "diagnostics" — is developing an inexpensive, sample-to-answer, self-digitizing quantitative microfluidic diagnostics platform that does not require an external instrument to run.

The mFludiX diagnostic is able to process whole blood with on-chip sample prep and requires simple external heating and a simple optical reader, similar to a DNA gel reader, to obtain quantitative results, mFluiDx co-founder Charlie Yeh said in an interview.

Get the full story with
GenomeWeb Premium

Only $95 for the
first 90 days*

GenomeWeb Premium gives you:
✔ Full site access
✔ Interest-based email alerts
✔ Access to archives

Never miss another important industry story.

Try GenomeWeb Premium now.

You may already have institutional access!

Check if I qualify.

Already a GenomeWeb or 360Dx Premium member?
Login Now.

*Before your trial expires, we’ll put together a custom quote with your long-term premium options.

Not ready for premium?

Register for Free Content
You can still register for access to our free content.

Nature News reports on how meeting cancellations and related costs are affecting scientific societies.

In a new ruling, Canada's Supreme Court upheld the country's genetic non-discrimination law, the Canadian Press reports.

COVID-19 vaccine developers aim to avoid a complication that has affected efforts to develop vaccines for other diseases, the Wall Street Journal reports.

In PLOS this week: analysis of insertions throughout Shigella genomes, antigen production in malaria parasites, and more.

Jul
14
Sponsored by
Agilent

This webinar will describe a rapid metagenomics assay under development for human pathogens, including the SARS-CoV-2 coronavirus.

Jul
16
Sponsored by
NanoString

Join this webinar to learn how spatial resolution of gene expression in tumor tissue reveals new insights in biomarker discovery and therapeutic response. 

Aug
13
Sponsored by
10x Genomics

This webinar will discuss a study that combined single-cell gene expression and spatial gene expression to understand the evolution of sepsis in the kidney at the cellular and molecular level.