How do I create markers in Pulsenics Analytics Tab to select EIS data for plotting?

Goal

Use markers to select the exact EIS spectra (or time windows) you want to plot and analyze from your time-domain plots.

Why markers matter

Markers are the main way to:

• label key moments (steps, transitions, events)

• select which spectra “belong together”

• compare experiments on a consistent timeline

• choose data for downstream plots (bar plots and frequency-domain plots)

Before you start

• You already have time-domain plots created in Analytics (DC and/or derived metrics).

• You can open the Data Marker tab on your Analytics page.

1) Understand marker types

Single-time markers

A single-time marker tags one exact moment in time.

• Appears as a vertical line on the plot.

• Used to select specific EIS spectra for plotting (especially frequency-domain plots later).

Range markers

A range marker tags a start and end time window.

• Used to select windows of data.

• Especially useful for bar plots and time-window comparisons.

2) Understand marker colors (what events they represent)

Markers may appear in different colors depending on how they were created:

• Gold: a trigger fired

• Gray: a trigger was activated (for example, delay started before effects fired)

• Blue: manual controls were changed

• Green: your saved marker(s) that show up in the data marker list

Important behavior:

• Only green markers appear in the Data marker list (the list you will use to select data for plots).

3) Create a single-time marker

1. Open the Data Marker tab.

2. If marker snapping is enabled, click directly on an EIS point of interest on the time-domain plot.

3. Give the marker a clear, unique name (this name becomes the legend label later).

Example naming patterns:

• “OCV sample 1”

• “Current step 10A”

• “Temp change 60 to 80”

• “Trigger fired: amplitude change”

1. Click Apply.

What you should see

• A temporary marker becomes green after applying.

• The marker appears in the Data marker list below.

4) Absolute vs relative markers (and why markers may “disappear”)

Markers are tied to your x-axis mode.

Absolute time markers

• Use real timestamps.

• Best when aligning with external logs or events.

Relative time markers

• Use time since the experiment began.

• Best for comparing multiple experiments on a shared timeline.

Key pitfall:

• If you switch your plot to relative x-axis, your absolute markers may no longer show (and vice versa).
  Best practice: decide whether you need absolute or relative time first, then place markers in that mode.

5) Use one marker across multiple experiments (relative time)

If you have multiple experiments loaded and they do not overlap in absolute time:

• Absolute markers often require separate markers for each experiment.

• Switching to relative x-axis lets you place a single relative marker that applies consistently across experiments.

Best use case

• Comparing experiments that started on different dates but follow the same protocol progression.

6) Place markers at regular intervals (marker intervals)

You can automatically place markers at fixed time spacing.

1. Choose the interval option (for example, every 5 minutes).

2. Click Apply.

Important behavior:

• Interval markers overwrite existing markers.

Best practice

• Apply marker intervals first, then add individual single-time markers afterward.

7) Create a range marker (time window selection)

1. Enable range selection mode.

2. Click and drag across the time-domain plot to define a start and end window.

3. Name the range marker clearly.

4. Click Apply to save it as a permanent marker.

What you should see

• A temporary range becomes a saved (green) range marker.

• The range appears in your marker list for selection.

8) Which marker type to use for which plots

• Frequency-domain plots (Bode, Nyquist, etc.): use single-time markers (these select specific completed spectra).

• Bar plots and window-based comparisons: use range markers.

Verify success

• Markers appear as vertical lines (single-time) or windows (range) on your plots.

• Saved markers become green and show in the marker list.

• Marker names are clear and usable as legend labels.

• Relative markers align cleanly across multiple experiments when using relative time.

Common issues

• Markers aren’t showing in the list: only saved (green) markers appear, click Apply.

• Markers disappeared after changing x-axis: absolute vs relative markers are separate, switch back or recreate markers in the intended mode.

• Interval markers removed my custom markers: intervals overwrite existing markers, apply intervals first next time.

• Marker doesn’t line up perfectly: the dashboard snaps to the nearest valid EIS point if your click is not exactly on a completed spectrum.

Related workflows

• Create time-domain plots in Analytics

• Create bar plots using markers (next video)

• Create frequency-domain plots using single-time markers (upcoming video)