Clonalyzer

Análisis cinético para cultivos CHO fed-batch

HostCell Lab Suite

Loading Python runtime…

First load takes ~30 s while the scientific Python stack downloads.
Subsequent analyses on the same session are instant.

Upload your data

CSV with two header rows (row 1 = labels, row 2 = column names). See format ▾

Row 1 – Human-readable labels (any text, ignored)
Row 2 – Column names: 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
Optional: GFP_mean, GFP_std, TMRM_mean, TMRM_std, Bodipy_mean, Bodipy_std, CellROX_mean, CellROX_std
Row 3+ – Numeric data
h  to h

Fluorescence channels (uncheck to exclude a channel even if present in the CSV)

Drag & drop your CSV here

or click to browse files

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.

ZIP includes processed CSVs + all plot images