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SLA Print Resolution Calculator

Calculate SLA/DLP print resolution, layer count, voxel count, and minimum feature size from pixel and layer settings.

About this calculator

Resin printers build parts as a stack of images rather than a traced path, so their resolution is fundamentally a pixel grid problem rather than a nozzle-diameter problem like FDM. This calculator takes your printer's XY pixel size (the size of a single projector or laser spot on the build plate, typically 25-140 micrometers) and layer height, then works out how many of those pixels tile across your part's footprint and how many layers stack to its full height — multiplying the two gives total voxel count, the addressable 3D "print resolution" of the job. Minimum feature size follows directly from hardware limits: the smallest reliably printable feature in the XY plane is treated as about two pixels wide, since a single-pixel feature is at the edge of what the light engine can resolve cleanly, while the smallest Z-direction feature is simply one layer's height.

Surface roughness is estimated two different ways depending on orientation — vertical walls show roughness from layer stair-stepping, modeled here as roughly a quarter of the layer height, while horizontal surfaces show roughness driven by pixel size instead, modeled as roughly a quarter of the pixel size. These are simplified approximations, not measured Ra values from a profilometer: real surface finish also depends on resin viscosity, cure depth, exposure settings, and post-cure shrinkage, none of which this model incorporates. Use it to reason about tradeoffs — finer XY pixels help horizontal detail, thinner layers help vertical smoothness and small Z-features — rather than as a spec sheet for your specific printer's actual output quality.

Inputs

Results

Total layers

400

Min feature XY (mm)

0.1

Pixels per layer480,000
Total voxels192,000,000
Min feature Z (mm)0.05
Surface roughness Z (μm Ra)12.5
Surface roughness XY (μm Ra)12.5
Voxel volume (mm³)0
Part Volume Cm324
How to Use This Calculator
  1. Enter XY pixel size (μm), Layer height (μm), and Part length (mm).
  2. Set Part width (mm) and Part height (mm).
  3. Review Total layers and Min feature XY (mm).
  4. Use Pixels per layer and Total voxels to inform your decision.

How the result changes with Layer height (μm)

Layer height (μm)Total layersMin feature XY (mm)
258000.1
385270.1
752670.1
1251600.1

What each input means

XY pixel size (μm)
Projector/laser XY resolution in micrometers. Consumer DLP ~35-50μm, pro SLA ~25-140μm.
Layer height (μm)
Z-axis layer thickness in micrometers. Fine detail: 25-50μm, standard: 50-100μm.
Part length (mm)
Part dimension along X axis.
Part width (mm)
Part dimension along Y axis.
Part height (mm)
Part dimension along Z axis (build direction).

What each result means

Total layers
Number of sliced layers in the build.
Pixels per layer
Number of XY pixels covering the part footprint per layer.
Total voxels
Total addressable volume elements (pixels x layers).
Min feature XY (mm)
Smallest printable feature in the XY plane (~2 pixels wide).
Min feature Z (mm)
Smallest printable feature in the Z direction (one layer).
Surface roughness Z (μm Ra)
Estimated arithmetic average roughness on vertical surfaces from stair-stepping.
Surface roughness XY (μm Ra)
Estimated roughness on horizontal surfaces from pixel resolution.
Voxel volume (mm³)
Volume of a single voxel (smallest addressable unit).

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    XY pixel size (μm) = 50, Layer height (μm) = 50, Part length (mm) = 40, Part width (mm) = 30 = 5 input(s) provided
  2. Calculate Total layers
    Total layers = ceil(partHeightMm / layerHeightMm)
    400 = 400
  3. Calculate Min feature XY
    Min feature XY = xyPixelMm * 2
    0.1 = 0.1
  4. Calculate Pixels per layer
    Pixels per layer = pixelsX * pixelsY
    480000 = 480000
  5. Calculate Total voxels
    Total voxels = pixelsPerLayer * totalLayers
    192000000 = 192000000

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.

Frequently Asked Questions

Why is the minimum XY feature size two pixels wide instead of one?

A single-pixel-wide feature sits at the very edge of what a projector or laser light engine can resolve cleanly, since adjacent pixel exposures bleed into each other slightly at cure boundaries. The calculator treats about two pixels as the smallest feature width that reliably prints as a distinct, intact detail rather than fusing into its neighbors.

Why are Z-direction and XY-direction surface roughness estimated differently?

Vertical (Z) surfaces show roughness from layer stair-stepping as the printer builds up discrete slices, modeled here as roughly a quarter of the layer height. Horizontal (XY) surfaces don't stair-step the same way — their roughness instead comes from the resolution of the pixel grid itself, modeled as roughly a quarter of the XY pixel size — so the two roughness numbers respond to different input sliders.

What is a 'voxel' in this calculator and why does the total count matter?

A voxel is one 3D pixel — the volume of a single XY pixel times the layer height — and total voxel count (pixels per layer times total layers) is the addressable print resolution of the whole job. More voxels generally means finer potential detail, but it's a geometric ceiling on resolution, not a guarantee that the resin, exposure settings, and print will actually resolve every voxel distinctly.

Does dropping to a smaller pixel size and layer height always improve real print quality?

In this model, yes — smaller XY pixel size directly shrinks minimum XY feature size and XY surface roughness, and thinner layers directly shrink minimum Z feature size and Z roughness. In practice, though, going very fine also multiplies total layers and voxel count, increasing print time substantially, and real resin behavior (viscosity, cure depth, shrinkage) can limit how much finer settings actually translate to visible improvement — factors this simplified geometric model doesn't account for.

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