Exercises

Exercises on the example experiments ask a question, let you answer it with CytoWeave's views, check your answer against the simulator's truth, and then show what was planted. They stay out of the way until you open one.

Starting an exercise

Open the list of exercises from the start page (Exercises, below the example experiments), with Exercises… in the workspace menu, or by searching for "exercise" (⌘K). Each one opens its example as a new workspace named after the exercise, with new data every time: a different seed gives other cells, and for many exercises another planted problem (another sample with the clog, another degraded tandem, another population that differs between groups).

To give a class the same data, type a Class code (any number) before choosing the exercise. Everyone who enters the same code gets the same data and the same planted problems, so answers can be compared. The panel shows the code of every attempt.

An exercise in the Gate view: the T-cell gating path on the left and in the plots, and on the right the exercise panel with its question, two hints, the answers (the T cells population and 39.1%) and the check: 100%, with each part's score and the true valuesAn exercise in the Gate view: the T-cell gating path on the left and in the plots, and on the right the exercise panel with its question, two hints, the answers (the T cells population and 39.1%) and the check: 100%, with each part's score and the true values
The T-cell exercise checked: each part of the answer scored against the truth, with what was measured.

Working through it

The exercise panel takes a column at the right of the window. It holds the question, the answers and the checks; the analysis itself is done in the usual views, so an exercise teaches CytoWeave as it is used. Fold the panel away with its arrow and bring it back from the tab at the bottom right.

Revealing the truth

Reveal the truth shows what the simulator planted and why, and the true values of every part. The Truth (simulated) channel then holds every event's true population, to plot or to color by in Explore. For a gate, the plots color the events it missed and those it took in wrongly. You can still change your answers and check them; those checks say they came after the truth was revealed.

An exercise with its truth revealed: a CD3 threshold set too low, with the CD3-negative events it took in colored on the plots of lymphocytes, and the panel explaining what was planted and where gates lose or gain T cellsAn exercise with its truth revealed: a CD3 threshold set too low, with the CD3-negative events it took in colored on the plots of lymphocytes, and the panel explaining what was planted and where gates lose or gain T cells
A CD3 threshold set too low: after the truth is revealed, the events it took in that are not T cells are colored on the plots.

The exercises

ExerciseLevelDone inWhat it asks
Gate the T cellsBeginnerGateSingle, live, CD3+ lymphocytes of a PBMC sample, and their share of all events.
Find the sample with an acquisition problemBeginnerQCWhich of twelve samples had a clog.
Name each acquisition's problemBeginnerQCFour wells: clean, a clog, drift or an air bubble, in an order that changes.
Choose an antibody amountBeginnerQC → TitrationThe amount per test from a titration series.
Measure cell-cycle phasesBeginnerCell cycleS phase and G2/M, after gating out doublets.
Count CD4 T cells per microliterBeginnerTablesA patient's CD4 count from counting beads.
Find the regulatory T cellsIntermediateGateCD25+ CD127-low CD4 T cells, and their share of CD4 T cells.
Find the wrong spillover valueIntermediateCompensateThe entry of the file's matrix that is wrong, and its value.
Test a stimulation effectIntermediateCompareThe direction, a test that fits a paired design, and its p-value.
Find the most potent compoundIntermediatePlatesThe most potent inhibitor, its IC50, and the inactive compounds.
Read a cytokine concentrationIntermediateBead assayA serum's concentration of one cytokine, corrected for its dilution.
Compare calcium responsesIntermediateKineticsThe strongest stimulus and the share of cells it makes respond.
Measure T-cell proliferationIntermediateProliferationThe percentage of the starting CD4 T cells that divided.
Follow an instrument with daily beadsIntermediateQC → InstrumentWhich detector is aging, from which run, and what failed on another day.
Adjust gates for a second dayIntermediateGateA day-2 sample's T cells, without moving the day-1 samples' gates.
Diagnose a problem in a spectral panelAdvancedSpectralThe dye that is wrong in the samples, and why.
Find what is wrong with the day-2 controlsAdvancedSpectralTwo faulty reference controls, each faulty in its own way.
Find a population that differs between groupsAdvancedExplore, CompareCleanup, normalization of two batches, clustering and differential abundance in a mass cytometry cohort.

For teachers

Exercises check what the simulator knows: the true population of every cell and every planted fault. Real data are messier; the exercises teach the moves and the reasons, not every judgment a real panel needs.

Out of the way

Nothing about exercises shows in your own analyses: the panel appears only in a workspace an exercise made, the examples open from the start page exactly as before, and the only reminder elsewhere is one line on the start page.

Where to go next