The most critical requirement for efficient and effective flow cytometry analysis is that the sample be a single-cell suspension. This helps ensure that every cell is analyzed independently. Topics in this section...
or by past experience should guide the experiment. Check this first to ensure the proper stains are being used, and the proper controls are in place to analyze the data.
Artificial intelligence (AI) is about to make itself indispensable in the health care sector. Examples of successful applications or promising approaches range from the application of pattern recognition software to pre-process and analyze digital medical images, to deep learning algorithms for subtype ...
when relying on flow cytometry phenotyping alone to define Tregs, inflammatory T cells could be a wolf in sheep’s (Treg’s) clothing and lead to incorrect data interpretation.
The TCR integrates forces in its triggering process upon interaction with pMHC. Force elicits TCR catch-slip bonds with strong pMHCs but slip-only bonds with weak pMHCs. We develop two models and apply them to analyze 55 datasets, demonstrating the model
The time- and effort-saving benefits of flow cytometry are crystal clear. Flow cytometry instruments can sort and analyze thousands of cells per minute, and theFlow Cytometry Panel Buildersimplifies this process. By facilitating fast and optimum panel design, the panel builder frees up your time....
ICE generates NGS-quality CRISPR editing analysis from Sanger sequencing data. Furthermore, ICE can analyze more types of editing experiments than other Sanger sequencing-based software tools and is also faster and easier to use. Explore how other researchers are using ICE in their CRISPR experiments...
: Worth Two Billion?” His own expectations of AI are more measured: “AI is going to be very good at digging through what we've already found,” but added “We just don’t know enough about cells, about organisms, and about disease” to feed the AI an adequate data set to analyze...
[133]. Preliminary data in DLBCL, HL and FL suggest that ctDNA has promise as a marker of MRD and predictor of recurrence [134,135,136,137]. In an ongoing study, we aim to prospectively analyze ctDNA levels in patients with newly diagnosed FL to benchmark levels in correlation to ...
They used their platform to analyze the transcriptome of almost 50,000 mouse retinal cells and were able to identify several transcriptionally different populations. One big advance in the field of single immune cell analysis was the sequencing of both immune receptor chains from millions of ...