Point cellpheno/nis at published ghcr container; add PR body

The nf-core/modules submission (PR nf-core/modules#12179) publishes the NIS
image to ghcr.io/chrisa142857/cellpheno-nis:1.0.0 (quay.io/nf-core push access
pending), so point the module's container line there. PR_BODY.md holds the
submission description.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BjA3vZUv5qkJdZnmjpRpiY

Author: Chrisa142857

PR_BODY.md

@@ -0,0 +1,44 @@
+Closes #11311
+
+## Description
+
+`cellpheno/nis` runs whole-brain 3D nuclei instance segmentation on a single lightsheet
+microscopy tile: a 2D U-Net per slice, 2D→3D flow conversion, flow-following to
+obtain instances per depth-chunk, and GNN gap-stitching across chunks. It wraps
+the C++/LibTorch CellPheno NIS executable from
+https://github.com/Chrisa142857/Lightsheet_microscopy_image_3D_nuclei_instance_segmentation.
+
+This is a **GPU, container-only** module (no Conda package), following the
+established `parabricks/*` and `numorph/3dunet` pattern: a single vendor container,
+no `environment.yml`, an in-script guard that errors under `-profile conda/mamba`,
+`label 'process_gpu'`, and versions via the `topic: versions` + `eval` mechanism.
+
+## PR checklist
+
+- [x] This comment contains a description of changes (with reason).
+- [x] If you've added a new tool - followed the module conventions in the contribution docs.
+- [ ] If necessary, include test data in your PR. <!-- pending nf-core/test-datasets -->
+- [x] Remove all TODO statements.
+- [x] Broadcast software version numbers to `topic: versions`.
+- [x] Follow the naming conventions.
+- [x] Follow the input/output options guidelines.
+- [x] Add a resource `label` (`process_high` + `process_gpu`).
+- [ ] Use BioConda and BioContainers if possible. <!-- N/A: custom CUDA/LibTorch GPU binary, no conda package; ships as a vendor container like parabricks -->
+- Ensure the test works with Docker / Singularity:
+  - [x] `nf-core modules test cellpheno/nis --profile docker` <!-- stub; real GPU test pending test-data -->
+  - [x] `nf-core modules test cellpheno/nis --profile singularity`
+  - [ ] `nf-core modules test cellpheno/nis --profile conda` <!-- intentionally unsupported (GPU binary) -->
+
+### Notes for reviewers
+- No conda support is intentional and matches `parabricks/*`.
+- `process_gpu` emits a non-standard-label warning (as it does for every GPU
+  module); paired with `process_high`.
+- Versions come from `eval("cat /usr/local/share/cellpheno-nis/VERSION")` because the binary
+  has no `--version`; the Dockerfile writes that file from the same `ARG` as the
+  image tag to keep them in lockstep.
+- **Container hosting:** the image is currently published at
+  `ghcr.io/chrisa142857/cellpheno-nis:1.0.0` (I don't yet have `quay.io/nf-core`
+  push access). `nf-core modules lint --registry ghcr.io` is clean (42 passed, 0
+  failed). I'm happy to have the team re-host it under
+  `quay.io/nf-core/cellpheno-nis` during review and will update the `container`
+  line to match.

modules/nf-core/cellpheno/nis/main.nf

@@ -8,7 +8,7 @@ process CELLPHENO_NIS {
     // It has no Conda/Bioconda package and requires a CUDA runtime, so it is
     // distributed only as a dedicated GPU container image (cf. the parabricks and
     // numorph/3dunet modules, which likewise ship a vendor GPU image with no conda).
-    container "quay.io/nf-core/cellpheno-nis:1.0.0"
+    container "ghcr.io/chrisa142857/cellpheno-nis:1.0.0"
 
     input:
     tuple val(meta), path(tile_dir)