4 Fluidics Tips That Will Change Your Flow Data For The Better

Friday is the 4th of July in the US – and we celebrate that day with picnics, spending time OUTSIDE the lab and fireworks. And our Independence, but I’m not up for a political discussion right now. For flow geeks, fireworks are like flow cytometry – they happen in the dark, they are full of many bright colors, and we’re all looking for the patterns the colors make. So in honor of a day outside the lab, it seemed appropriate to talk about fluidics… going with the flow for best results. A flow cytometer has three major components – fluidics, electronics and optics. From setting the run speed (‘flow rate’), to cleaning the instrument after a run, to changing the sheath fluids, the typical researcher interacts mainly with the fluidics side of the system. The majority of flow cytometers on the market use a differential pressure to move the fluids and cells around the system. In these systems, the pressure of the sheath fluid sets the speed of the flow. The low, medium and high buttons on the instrument change the differential pressure between the sample and sheath.

1. Faster IS NOT better.

As the differential pressure increases (increasing from low -> med -> high) the size of the core stream is increased. This allows for more cells to pass by the intercept per second. However, that is not without consequences.

A. The spread of the data will increase due to the position of the cells within the laser interrogation point.

B. The number of coincident events will increase as more cells pass the intercept while the previous cell is being processed.

Screen Shot 2014-07-02 at 6.48.08 AM

2. Plot time as a measure of quality.

Screen Shot 2014-07-02 at 6.50.44 AM

During acquisition, monitor how the sample is running by plotting time versus the fluorochromes being used. It is best to have a plot for each laser, so that if pressure related issues arise (which can affect the time delay between different lasers) they can be readily detected.

3. Sheath and the sample fluid do not mix … mostly.

Screen Shot 2014-07-02 at 6.52.33 AM

Because of the laminar flow that is established and how hydrodynamic focusing constrains the core stream, the sample fluid and sheath fluid generally do not mix. This means that solutions like water can be used for the sheath fluid. There is one place, however, where mixing can occur. That is at the point where the sample is injected into the running sheath fluid, before the hydrodynamic focusing takes place. Generally this is not an issue, but if performing a Calcium flux experiment, it’s important to ensure that this area of mixing doesn’t disturb the calcium equilibrium that is being measured.

4. Wash the sample injection port before starting.

Screen Shot 2014-07-02 at 6.53.38 AM

Many cleaning protocols use bleach and water to clean the SIP after each user. Sometimes (often!) users are in a rush and the water rinse is not completed. If this happens, the next user can lose valuable data as the bleach will negatively affect the fluorescence on the cells – especially those with APC. To prevent this, put a fresh tube of water on the instrument and run on high while getting the instrument setup for the next run. For those in the US, I hope you have a great holiday and enjoy looking for those patterns in the colored lights in the sky. For the rest of you, we’ll be back next week with more tips. Don’t forget to check our calendar for upcoming events.

Join Expert Cytometry's Mastery Class

ABOUT TIM BUSHNELL, PHD

Tim Bushnell holds a PhD in Biology from the Rensselaer Polytechnic Institute. He is a co-founder of—and didactic mind behind—ExCyte, the world’s leading flow cytometry training company, which organization boasts a veritable library of in-the-lab resources on sequencing, microscopy, and related topics in the life sciences.

Tim Bushnell, PhD

Similar Articles

Common Numbers-Based Questions I Get As A Flow Cytometry Core Manager And How To Answer Them

Common Numbers-Based Questions I Get As A Flow Cytometry Core Manager And How To Answer Them

By: Tim Bushnell, PhD

Numbers are all around us.  My personal favorite is ≅1.618 aka ɸ aka ‘the golden ratio’.  It’s found throughout history, where it has influenced architects and artists. We see it in nature, in plants, and it is used in movies to frame shots. It can be approximated by the Fibonacci sequence (another math favorite of mine). However, I have not worked out how to apply this to flow cytometry.  That doesn’t mean numbers aren’t important in flow cytometry. They are central to everything we do, and in this blog, I’m going to flit around numbers-based questions that I have received…

How To Do Variant Calling From RNASeq NGS Data

How To Do Variant Calling From RNASeq NGS Data

By: Deepak Kumar, PhD

Developing variant calling and analysis pipelines for NGS sequenced data have become a norm in clinical labs. These pipelines include a strategic integration of several tools and techniques to identify molecular and structural variants. That eventually helps in the apt variant annotation and interpretation. This blog will delve into the concepts and intricacies of developing a “variant calling” pipeline using GATK. “Variant calling” can also be performed using tools other than GATK, such as FREEBAYES and SAMTOOLS.  In this blog, I will walk you through variant calling methods on Illumina germline RNASeq data. In the steps, wherever required, I will…

Understanding Clinical Trials And Drug Development As A Research Scientist

Understanding Clinical Trials And Drug Development As A Research Scientist

By: Deepak Kumar, PhD

Clinical trials are studies designed to test the novel methods of diagnosing and treating health conditions – by observing the outcomes of human subjects under experimental conditions.  These are interventional studies that are performed under stringent clinical laboratory settings. Contrariwise, non-interventional studies are performed outside the clinical trial settings that provide researchers an opportunity to monitor the effect of drugs in real-life situations. Non-interventional trials are also termed observational studies as they include post-marketing surveillance studies (PMS) and post-authorization safety studies (PASS). Clinical trials are preferred for testing newly developed drugs since interventional studies are conducted in a highly monitored…

How To Profile DNA And RNA Expression Using Next Generation Sequencing (Part-2)

How To Profile DNA And RNA Expression Using Next Generation Sequencing (Part-2)

By: Deepak Kumar, PhD

In the first blog of this series, we explored the power of sequencing the genome at various levels. We also dealt with how the characterization of the RNA expression levels helps us to understand the changes at the genome level. These changes impact the downstream expression of the target genes. In this blog, we will explore how NGS sequencing can help us comprehend DNA modification that affect the expression pattern of the given genes (epigenetic profiling) as well as characterizing the DNA-protein interactions that allow for the identification of genes that may be regulated by a given protein.  DNA Methylation Profiling…

How To Profile DNA And RNA Expression Using Next Generation Sequencing

How To Profile DNA And RNA Expression Using Next Generation Sequencing

By: Deepak Kumar, PhD

Why is Next Generation Sequencing so powerful to explore and answer both clinical and research questions. With the ability to sequence whole genomes, identifying novel changes between individuals, to exploring what RNA sequences are being expressed, or to examine DNA modifications and protein-DNA interactions occurring that can help researchers better understand the complex regulation of transcription. This, in turn, allows them to characterize changes during different disease states, which can suggest a way to treat said disease.  Over the next two blogs, I will highlight these different methods along with illustrating how these can help clinical diagnostics as well as…

What Is Next Generation Sequencing (NGS) And How Is It Used In Drug Development

What Is Next Generation Sequencing (NGS) And How Is It Used In Drug Development

By: Deepak Kumar, PhD

NGS methodologies have been used to produce high-throughput sequence data. These data with appropriate computational analyses facilitate variant identification and prove to be extremely valuable in pharmaceutical industries and clinical practice for developing drug molecules inhibiting disease progression. Thus, by providing a comprehensive profile of an individual’s variome — particularly that of clinical relevance consisting of pathogenic variants — NGS helps in determining new disease genes. The information thus obtained on genetic variations and the target disease genes can be used by the Pharma companies to develop drugs impeding these variants and their disease-causing effect. However simple this may allude…

7 Key Image Analysis Terms For New Microscopist

7 Key Image Analysis Terms For New Microscopist

By: Heather Brown-Harding, PhD

As scientists, we need to perform image analysis after we’ve acquired images in the microscope, otherwise, we have just a pretty picture and not data. The vocabulary for image processing and analysis can be a little intimidating to those new to the field. Therefore, in this blog, I’m going to break down 7 terms that are key when post-processing of images. 1. RGB Image Images acquired during microscopy can be grouped into two main categories. Either monochrome (that can be multichannel) or “RGB.” RGB stands for red, green, blue – the primary colors of light. The cameras in our phones…

We Tested 5 Major Flow Cytometry SPADE Programs for Speed - Here Are The Results

We Tested 5 Major Flow Cytometry SPADE Programs for Speed - Here Are The Results

By: Tim Bushnell, PhD

In the flow cytometry community, SPADE (Spanning-tree Progression Analysis of Density-normalized Events) is a favored algorithm for dealing with highly multidimensional or otherwise complex datasets. Like tSNE, SPADE extracts information across events in your data unsupervised and presents the result in a unique visual format. Given the growing popularity of this kind of algorithm for dealing with complex datasets, we decided to test the SPADE algorithm in 5 software packages, including Cytobank, FCS Express, FlowJo, R, and the original, free software made available by the author of SPADE. Which was the fastest?

5 FlowJo Hacks To Boost The Quality Of Your Flow Cytometry Analysis

5 FlowJo Hacks To Boost The Quality Of Your Flow Cytometry Analysis

By: Tim Bushnell, PhD

FlowJo is a powerful tool for performing and analyzing flow cytometry experiments, if you know how to use it to the fullest. This includes understanding embedding and using keywords, the FlowJo compensation wizard, spillover spreading matrix, FlowJo and R, and creating tables in FlowJo. Extending your use of FJ using these hacks will help organize your data, improve analysis and make your exported data easier to understand and explain to others. Take a few moments and explore all you can do with FJ beyond just gating populations.

Top Industry Career eBooks

Get the Advanced Microscopy eBook

Get the Advanced Microscopy eBook

Heather Brown-Harding, PhD

Learn the best practices and advanced techniques across the diverse fields of microscopy, including instrumentation, experimental setup, image analysis, figure preparation, and more.

Get The Free Modern Flow Cytometry eBook

Get The Free Modern Flow Cytometry eBook

Tim Bushnell, PhD

Learn the best practices of flow cytometry experimentation, data analysis, figure preparation, antibody panel design, instrumentation and more.

Get The Free 4-10 Compensation eBook

Get The Free 4-10 Compensation eBook

Tim Bushnell, PhD

Advanced 4-10 Color Compensation, Learn strategies for designing advanced antibody compensation panels and how to use your compensation matrix to analyze your experimental data.