- What makes nanoplate dPCR simple and fast?
- How easy is setting up a dPCR run on the QIAcuity System?
- Demo of its intuitive software with versatile capabilities – from setup to run and analysis
Lab smart: Great results, less waste, happier planet
December 5
What’s in this episode
Smart savings on every DNA/RNA isolation
Get the quality you’ve come to expect from your DNA/RNA isolations with less waste. Inga Irle unboxes the leaner, greener QIAwave kits. See exactly what’s in these kits and how to use them. Get more out of your isolation while taking out the trash less often.
Great RNA-sequencing with >80% less pipetting
Tired of pipetting through box after box of filter tips? Get the same diversity of RNA-seq results with fewer filter tips. How many fewer? Does saving 11 boxes of filter tips per 192 reactions sound good? Watch this episode to find out how.
The same lab supplies, less energy
Running out of room in your -20? What about the refrigerator? Learn tricks and tips on how you can reduce your cold storage and your lab's energy use in general in this episode.
We Are Live In
Lighter labs: Lots of savings, no extra work.
Let our experts guide you through savings of all kinds. Fewer costs, less pipetting, reduced waste or lower energy usage. Yes, this episode is about making your laboratory more efficient and more sustainable. So, join us for 20 short minutes of practical information that will lighten your lab life.
Yes, Q-rious is back, and just like the topic of the episode it’s lighter, shorter and jam-packed with practical tips and tricks. Made by scientists for scientists, Q-rious is now less than the length of a sitcom (with none of the commercials). It’s all the information, all the interest, none of the fluff. Register below to watch it live.
Next episode – Simplified dPCR adventure: The QIAcuity way
In the next episode of Q-rious, we’ll bust the following myths:
Myth: Digital PCR (dPCR) is a complex technique, and the steep learning curve may not be worth it. Digital PCR workflows are tedious and lengthy, and the data analysis may not be intuitive.
Discover instead:
