Clonalyzer

Análisis cinético para cultivos CHO fed-batch

HostCell Lab Suite

Loading Python runtime…

First load ~30 s · subsequent runs are instant

Set up your analysis

Upload your CSV file, configure the settings below, then click Analyze.

Drag & drop your CSV here

or click to browse files

file.csv

Click to change file

Required columns Optional columns (flow cytometry) Row ignored by the analyzer
t_hr Clone Rep is_post_feed VCD DCD Viab_pct rP_mg_L Glc_g_L Lac_g_L Gln_mM Glu_mM Vol_mL GFP_mean GFP_std TMRM_mean TMRM_std Bodipy_mean Bodipy_std CellROX_mean CellROX_std
1 Time (h)CloneReplicatePost-feed? VCD (cells/mL)DCD (cells/mL)Viability %Product (mg/L) Glucose (g/L)Lactate (g/L)Glutamine (mM)Glutamate (mM)Volume (mL) GFP meanGFP SD TMRM meanTMRM SD BODIPY meanBODIPY SD CellROX meanCellROX SD
2 t_hrCloneRepis_post_feed VCDDCDViab_pctrP_mg_L Glc_g_LLac_g_LGln_mMGlu_mMVol_mL GFP_meanGFP_std TMRM_meanTMRM_std Bodipy_meanBodipy_std CellROX_meanCellROX_std
3 0CHO-K11FALSE 5.0E51.0E498.20 4.500.204.00.550 1250120 3400280 89095 21045
4 24CHO-K11TRUE 2.1E65.0E497.125 3.200.853.11.255 3400280 5200410 1450130 38062
Row 1: descriptive labels — any text, ignored by the analyzer. Row 2: exact column names (case-sensitive) — the analyzer reads these. Rows 3+: numeric data. Add as many rows as sampling time points.
File format
Kinetics window

Define the time interval of exponential growth. Only data points within this range are used to estimate μ and specific consumption/production rates (q).

h  →  h
Culture mode
Flow cytometry channels

Optional flow cytometry data. Enable only the channels present in your CSV file. If your experiment did not include flow cytometry, uncheck all channels to avoid read errors.

Green fluorescent protein · transgene expression / productivity reporter
Mitochondrial membrane potential · cell health and energy metabolism
Intracellular lipid content · lipid metabolism
Reactive oxygen species (ROS) · oxidative stress

Select a CSV file above to enable analysis.

Analyzing data

Processing…

Dataset summary

Clone colors

Plots

Custom Correlations

Choose any two variables to generate a correlation plot. Color = clone · Marker = phase · Regression line per clone × phase.

Multi-Axis Trend Comparison

Compare the time evolution of 2 or 3 variables for one clone on shared X and independent Y axes.

Axis 1 range
Axis 2 range
Axis 3 range
Leave the third variable empty if you only want two Y axes. Axis limits are optional.
ZIP includes CSVs + images · PDF with selected charts