Resolve heterogeneity
Separate signals from immune, stromal, tumor, stem, and progenitor populations instead of averaging them together.
Single-cell workflow essentials
Every cell counts. Count it with confidence.
Single-cell sequencing reveals biology that bulk measurements can hide—but the quality of the answer begins before library preparation. Reliable cell concentration and viability data help researchers make better-informed loading decisions.
Featuring the Logos Biosystems LUNA-FX7™ Automated Cell Counter
Viability insight
Concentration control
From averages to individual biology
What is single-cell sequencing?
Single-cell sequencing profiles DNA, RNA, chromatin, or other molecular features from individual cells. In widely used single-cell RNA-seq workflows, cell-specific barcodes allow pooled sequencing reads to be assigned back to their cell of origin—revealing distinct cell types, transient states, and rare populations within a heterogeneous sample.
Find rare populations
Detect cell subsets and states that may be diluted or missed in bulk measurements.
Map dynamic biology
Study differentiation, activation, treatment response, and disease progression one cell at a time.
The pre-analytical checkpoint
Why counting and viability matter
A sequencing platform cannot correct a poorly characterized input. Cell concentration informs how much suspension to load; viability indicates how much of that input is biologically useful. Together, these measurements influence recovery, data quality, and efficient use of reagents.
- Too concentrated: the probability of capturing more than one cell together can increase.
- Too dilute: fewer cells may be recovered than planned.
- Low viability: compromised cells can contribute ambient nucleic acids and background.
- Inconsistent counts: sample comparisons and loading decisions become less dependable.
Practical workflow
Build confidence before the sequencer
Place cell counting and viability measurement at the decision point between sample preparation and downstream capture.
Step 1CollectHarvest tissue, blood, culture, or another biological source.
Step 2PrepareCreate a clean single-cell or nuclei suspension using a validated method.
Step 3MeasureDetermine total concentration, live-cell concentration, and viability as applicable.
Step 4ReviewCheck images, aggregation, debris, and whether the sample meets lab criteria.
Step 5NormalizeDilute or concentrate to the input recommended for the selected assay.
Step 6CaptureProceed to barcoding, library preparation, sequencing, and analysis.
Recommended sample-QC solution
LUNA-FX7™ Automated Cell Counter
The LUNA-FX7 combines brightfield and dual-fluorescence detection with automated imaging and analysis. Logos Biosystems identifies single-cell sequencing among its applications and provides a dedicated application note on automated cell evaluation for scRNA-seq.
That makes it a strong option to evaluate for labs seeking a repeatable, image-based checkpoint before downstream single-cell processing.
Compatibility note: Suitability depends on sample type, preparation method, stain, concentration, and downstream assay requirements. Final settings should be validated by your laboratory.
Brightfield + fluorescence
Choose brightfield or dual-fluorescence detection for different counting and viability strategies.
Visual quality review
Review counting images and use customizable protocols for consistent evaluation.
Flexible slide formats
Manufacturer-listed 1-, 2-, 3-, and 8-chamber options support different throughput needs.
Accessible records
Export PDF, CSV, or TIFF results via USB, Wi-Fi, or Ethernet.
California-based support
Strengthen the first critical checkpoint.
Talk with Dana Bioscience about cell counting, viability assessment, and whether the LUNA-FX7 fits your single-cell sample-preparation workflow.
Dana Bioscience
Santa Ana, California · +1 949-556-0373
info@danabiosci.com
Product information & further reading
For research use only. Product specifications and availability may change. Mention of a downstream workflow does not imply universal compatibility or validation with every platform, sample type, or protocol.