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01 · 03·Test chart

The continuous gradient band

what the 25 patches don't show you

Reading 7 min·Verified 2026-09-25

Calibration Flow monochrome 5×5 test chart in negative, with its continuous gradient column on the right
The 5×5 grid on the left, the unconditional continuous gradient band on the right — shown here on the negative version of the monochrome chart.

A grid of 25 patches tells you how your process responds to 25 distinct grey levels. It's precise, it's measurable, it's what the app uses to build your curve. But between two patches there's a 4% jump in intensity — and your eye sees 25 separate cells that it compares one by one, not a transition. If your process has a subtle blocking plateau or a zone that flips abruptly between two patches, you can miss it.

That's exactly what the continuous gradient band is for: on the Control strip of the Negative screen — the 5×5 target Calibration Flow overlays on your image when you turn on Show the target (bottom option bar → Target) —, a sixth vertical column to the right of the grid runs from pure white to full black without any visible step. It follows whichever negative or positive mode you picked for your generation, with no polarity setting of its own (see positive vs negative target for the rule by process), and it comes out every time the target is shown — it isn't a variant you'd pick separately. The calibration measurement is still made on the 25 discrete patches; the gradient column, for its part, shows you what no discrete-point measurement can show you — how your process behaves between those points.

#What you see on the paper

When you print the chart (if you're just discovering the grid, understanding a test chart lays the groundwork first), the grid of 25 patches comes out as expected — 25 distinct cells, from paper white to the deepest black your process can reach. Next to it, the gradient column comes out as a transition. What that column reveals depends entirely on your process.

In the app, the Control strip sits at the bottom left of your image and covers that corner, at about a quarter of the sheet's shorter side. It's drawn before the curve and the inversion, so it gets exactly the same treatment as the rest of the negative: with no curve picked, you're looking at a raw target; with a curve applied, you're checking that curve holds up on the print. If you've turned on Multi-zone mode (2 or 4 zones), each zone gets its own small 5×5 grid + gradient, with that zone's own curve and a label (TOP, BOTTOM, TOP LEFT…).

Calibration Flow negative of the Mona Lisa with the Control strip turned on, 25-step grey grid and continuous gradient at the bottom leftThe Control strip (25 greys + gradient) at the bottom left of the negative, inverted along with the image. Drawn by the app's own module. Image: the Mona Lisa, public domain.

On an uncalibrated cyanotype, you'll typically see three zones: an almost-white part at the top (the chemistry doesn't engage at low exposures), a steep transition in the middle (the chemistry responds abruptly between two thresholds), an almost-black part at the bottom (saturation). These three zones exist in the grid too — patches 0 to 6 white, patches 7 to 14 flipping fast, patches 15 to 24 black — but looking at the grid you see cells; on the gradient, you see the mechanics of the process at a glance.

On a calibrated, clean process, the transition is almost progressive from top to bottom. No jump, no plateau. It's the sign that no tonal zone is blocking abruptly.

On an unstable process (drifting chemistry, poorly sensitized paper), you can see bands or rings in the gradient — zones where density inverts locally, plateaus where the chemistry blocks. These defects exist in the grid too but are hard to isolate there; on the gradient, they jump out.

#Why it's valuable

Visual diagnosis in 30 seconds. Before even importing the chart into the app, you glance at the dry gradient. If the transition is even, you know your process is in a calibratable state and you can scan to measure. If you see a jump or a ring, you know there's an upstream problem — chemistry, paper, exposure — to fix before calibrating. Thirty seconds of observation spares you a failed calibration and a pointless scan.

Detecting Mach bands. On some processes (dense carbon, Aquaprint Sanguine), the tonal transition is so steep at a precise spot that you physically see lighter and darker bands around the transition — that's the "Mach bands" phenomenon. The continuous gradient makes them visible before the final image. You know you'll need to soften the slope of your curve at that spot so as not to find these bands again in your prints.

Verification after adjustment. When you print a second chart after changing something (changing sensitizer, changing paper, tweaking chemistry), comparing the two gradient bands side by side tells you immediately whether your change affected the overall response of the process. Faster than mentally comparing 25 patches two by two.

#When you can ignore the gradient

You're running a quick production calibration. If you're calibrating a process you've mastered and whose behavior you already know, the gradient adds no useful information for this session. You scan, the app measures the 25 patches, you export your curve. The continuous band is there, but you don't look at it.

You're a complete beginner. The gradient is a reading tool that requires knowing what you're looking at. At the very start, you won't be able to tell a normal transition from a pathological one — both can look "smooth" to the untrained eye. Focus on the grid for the first calibrations, then come back to the gradient when you start reading the correction curve effortlessly.

Your printer renders continuous mid-tones poorly. On some basic inkjet transparencies, the gradient band can come out with stray printer-driver banding (visible steps that aren't in the chart but in the rendering). These bands can be mistaken for process defects. That's not necessarily a defect in your process: try a higher Resolution for your negative first (Effects → Resolution — the target follows it: 300, 450 or 600 dpi) before concluding there's a chemistry problem.

#Technical details

The gradient column isn't a setting you turn on or off: the code that draws the Control strip traces it on every generation, regardless of the polarity chosen for the negative. It has no resolution of its own either: it's drawn directly onto your negative's canvas, so it inherits the format you picked in the Format tab (paper size, orientation) and the export fineness you picked in the Effects tab (Resolution, 300/450/600 dpi). If you also turn on Screen (Effects → Screen → On), the Control strip gets screened along with the rest of the sheet: it's drawn before the curve and the inversion, and the screening is applied afterward on the already-composed sheet, target included. Turning on Show the target automatically switches off Fill the paper — the two aren't compatible. The Venn color chart has no gradient column at all: it's an ink-overlap rosette, not a grey grid.

#Key points

ElementValue
Where to turn it onNegative screen → option bar → Target → Show the target
Position in the chartVertical column to the right of the 5×5 grid
Range coveredPure white (0) to full black (255), pure grey levels
PresenceOn the Control strip only — unconditional, not an option
RoleVisual diagnosis, not calibration measurement
Measurement used by the appThe 25 discrete patches — not the band
Chart resolutionNone of its own — it follows the Format and Resolution set for the negative
Color chart (Venn)No gradient band — a different chart
Processes concernedAll contact alt-processes

#The test

Print a normal chart on your usual process. Once the chart is dry, look at the gradient band on the right before even scanning it. Follow the transition from top to bottom with your finger: density should increase with no perceptible jump. If you see a spot where density jumps abruptly between two very close zones, or a spot where density stays flat over a visible length while it was progressing before and after, your process has a non-linearity the calibration will need to correct. Make a mental note of where the problem zone sits on the band — you'll find the same zone in the correction curve the app generates.