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TmapSlide — UNIC TMAP whole-slide images in pure Python

TmapSlide

Pure Python reader for UNIC TMAP whole-slide images — no SDK, no native deps.

以纯 Python 读取联影 TMAP 全切片图像,开箱即用

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📖 English · 中文说明

⚡ Quick Start

1. Install:

pip install tmapslide

2. Read a slide:

import tmapslide

slide = tmapslide.OpenSlide("sample.TMAP")

print(slide.dimensions)          # (71424, 72704)
print(slide.level_count)         # 10
print(slide.level_downsamples)   # (1.0, 2.0, 4.0, ...)

region = slide.read_region((512, 512), 0, (1024, 1024))  # RGBA PIL image
thumb = slide.get_thumbnail((512, 512))
macro = slide.associated_images["macro"]

✨ Features

  • Pure Python — no vendor SDK, no native dependencies; only Pillow
  • OpenSlide-compatible API — drop-in for code written against openslide / kfbslide: read_region, get_thumbnail, dimensions, level_count, level_dimensions, level_downsamples, properties, associated_images
  • Both known TMAP variants — TMAP06 (3-level pyramid) and TMAP07 (up to 10 levels)
  • Fork-safe file handles — safe with PyTorch DataLoader workers
  • LRU decoded-tile cache — fast repeated reads
  • Thread-safe reads — concurrent read_region from worker threads

🏎️ Performance

Benchmark vs ASlide's pure-Python TMAP backend (median of 5 runs, same files, same machine):

Scenario TMAP07 TMAP06
Open slide 281 ms vs 43 ms ⚠️ 101 ms vs 224 ms (2.2×)
Cold 1024² region @L0 4.1 ms vs 15.7 ms (3.8×) 2.6 ms vs 14.8 ms (5.6×)
Random 512² region @L0 1.1 ms vs 5.7 ms (5.3×) 0.9 ms vs 6.3 ms (6.7×)
Warm 512² region ×50 42 ms vs 217 ms (5.1×) 54 ms vs 408 ms (7.6×)

ASlide's TMAP backend re-decodes every tile on every call; tmapslide adds an LRU decoded-tile cache and per-tile culling, so warm reads and random access are several times faster.

📖 API

tmapslide.OpenSlide(filename)

Member Description
dimensions (width, height) at level 0
level_count number of pyramid levels
level_dimensions (w, h) per level
level_downsamples downsample factor per level
properties read-only metadata mapping (openslide.vendor=unic, tmap.*)
associated_images lazy mapping, typically macro / label / thumbnail
read_region(loc, level, size) PIL.Image (RGBA) of the region
get_thumbnail(size) thumbnail from the lowest resolution level
get_best_level_for_downsample(ds) best level for a downsample factor
close() / context manager release resources

tmapslide.open_slide(filename)

Alias of OpenSlide(filename).

📦 Supported Formats

Format Extension Vendor Backend
TMAP 06 .TMAP UNIC (United Imaging) Pure Python
TMAP 07 .TMAP UNIC (United Imaging) Pure Python

🧪 Testing

Tests run against real TMAP samples when the scce_external_center data directory (or TAPSLIDE_TEST_DATA) is present next to the repo; synthetic fixtures keep the core parser covered everywhere else.

pip install -e .[dev]
pytest

📄 Format Notes (reverse-engineered)

TMAP is an undocumented proprietary format. This reader is built from binary analysis of real scanner output, cross-validated against ASlide. Both variants store plain JPEG tiles with a small binary header and index tables; there is no encryption.

  • TMAP06 stores 3 pyramid levels (40x / 10x / 2.5x); TMAP07 stores up to 10 levels (40x down to 0.078x, halving each level).
  • TMAP06 level-2 previews come from pre-rendered ShrinkTile entries and are JPEG-compressed at that scale.
  • iter_tiles() exposes the stored tile grid directly — useful for tile-based ML pipelines.

📄 License

MIT

🙏 Acknowledgments

  • kfbslide — the KFB reader this project is modelled after
  • OpenSlide — the API this library mimics
  • ASlide — its independent reverse-engineering of the TMAP06 layer/block structures (from decompiled vendor SDK) was used to cross-validate this implementation. tmapslide is an independent MIT-licensed implementation and ships no ASlide code

Release files for tmapslide 0.2.1

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