BD Cellismo™ Data Visualization Tool

"Cellismo made analysis and visualization of Rhapsody data simple and intuitive. Both people experienced with R and people who have never used R quickly performed tasks that typically take many lines of code. It simplified the preprocessing and graphing processes, facilitating deeper exploration of our data in far less time. The lasso tool and interactive DEG output made comparing populations of interest much easier as well. Cellismo is exactly the software we were looking for to rapidly analyze our single cell data with a minimal learning curve."

"Cellismo is a program that is easy to use for both beginners and advanced users to perform all adjustments they need to get the most out of their data. I especially liked the numerous customization options for all types of plots. Additionally, the interactive design of the graphs makes data discussions so much easier, as all information for each individual data point being displayed is immediately at hand. Paired with the top-notch customer support that BD provides, I believe Cellismo will be a great tool for data analysis for any user."

"As researchers, we constantly seek tools that improve accuracy and save time, and Cellismo excels in both areas. Its intuitive interface and advanced analysis tools have simplified workflows that once required extensive manual effort. With Cellismo, we can visualize and interpret complex data with exceptional precision, allowing us to derive insights faster and more effectively. We are excited to continue exploring its capabilities as we push the boundaries of cellular research."

"I had a great time working through the new Cellismo software. I was quickly able to navigate through the program to see what I wanted to see from our data. This program not only gets me to where I want to go independently, I also am not interrupting the workflow of my lab every time I get an itch with a new idea. I had a really fun time looking at our data with this program. I very much appreciate that BD has come up with this simple and user-friendly data visualization software package for people like me to use (and I will use this)."

"Absolutely love Cellismo. Combined with the Seven Bridges pipeline, it is an extremely powerful tool for quick and preliminary analyses of our single-cell datasets. As a non-bioinformatician but with extensive cytometry experience, we have used Cellismo to generate UMAPs and volcano plots for differential gene expression analyses. We liked that it was not tasking at all for a new user to learn and thus has helped in generating interest in scRNAseq analyses with our user base. Hoping for continued support and regular updates."

"Cellismo is an excellent, lightweight bioinformatics tool for BD Rhapsody users, running on Windows and macOS. You can easily check sample quality, set analysis cutoffs, and view differentially expressed genes across clusters and samples. A key feature is using ribosomal RNA expression for deeper cell quality checks. For Abseq using BD’s antibodies, Cellismo lets you separate protein and mRNA expression with ease, making single-cell analysis straightforward and user-friendly."

"The breadth of features and stability of the platform make analyzing data headache-free. As a fledgling bioinformatician, the simplicity of Cellismo has helped me a lot on my analysis journey. In-house doublet detection and quality control help, clean up data quickly and streamline workflows. Cellismo’s support team does a wonderful job at assisting with troubleshooting questions and providing guidance in navigating the platform. Overall, Cellismo is a powerful tool in single-cell sequencing analysis, and I am looking forward to seeing where the platform goes in the future."

"We are studying the diversity of cancer tissues. Among these, changes in cancer cells are closely related to chromatin structure. Cellismo is well-suited for intuitively plotting data analyzed by scATAC-seq, allowing you to visualize the state of regions of interest. It also reduces analysis time and possesses sufficient specifications for performing multi-omics analysis, including scRNA-seq. Using this program is expected to yield significant insights in research fields such as cancer."