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. Author manuscript; available in PMC: 2013 Dec 11.
Published in final edited form as: Aquaculture. 2012 Oct 11;370-371:179–188. doi: 10.1016/j.aquaculture.2012.09.024

Table 3.

Summary of sources of variation in flow cytometry scatter plots and subsequent population gating of zebrafish sperm exposed to cryoprotectants reported in this study, and possible solutions to reduce their effects on data interpretation.

Source of variation Effect on sample Effect on population gating Magnitude of potential error* Potential solution
Cellular or particulate
contamination
Increased non-sperm events
on FSC vs. SSC
Decreased sperm count as a
proportion of collected events
+++ Calculate intact percentages based on
fluorescent count
Dependent on amount of
contamination
Precipitation of solutes Increased non-sperm events
on FSC vs. SSC
Decreased sperm count as a
proportion of collected events
+++ Omit calcium from cryopreservation buffers
Dependent on cryoprotectant
concentration
Filter cryoprotectant solution prior to sperm
addition
Calculate intact percentages based on
fluorescent count
Bulk volume effect Reduce total solution volume Increase relative sperm
concentration
+ Unavoidable physical property of aqueous
solutions containing cryoprotectants
Dependent on cryoprotectant
concentration
Change in FSC characteristics Events fall outside sperm
gating region
Reduction in gated and
fluorescent event counts
++ Wash to remove cryoprotectant prior to analysis
Events fall below threshold Reduction in total event count Dependent on cryoprotectant
type and concentration
Calculate intact concentration based on initial
sperm concentration
Change in SSC characteristics Events fall outside sperm
gating region
Reduction in gated and
fluorescent event counts
++ Wash to remove cryoprotectant prior to analysis
Dependent on cryoprotectant
type and concentration
Calculate intact concentration based on initial
sperm concentration
*

The magnitude of potential error is expressed as≤5% (+),≤25%, (++), or ≤50% (+++).