diff --git a/examples/slurmkit_example/slurm_z_drift_correction.py b/examples/slurmkit_example/slurm_z_drift_correction.py
deleted file mode 100644
index 21b56dca..00000000
--- a/examples/slurmkit_example/slurm_z_drift_correction.py
+++ /dev/null
@@ -1,91 +0,0 @@
-import datetime
-import os
-import glob
-from slurmkit import SlurmParams, slurm_function, submit_function
-from natsort import natsorted
-import click
-import numpy as np
-from iohub import open_ome_zarr
-from pathlib import Path
-from mantis.cli.utils import (
-    get_output_paths,
-    create_empty_zarr,
-)
-from mantis.cli.stabilize import apply_stabilization_over_time_ants
-
-# NOTE: this pipeline uses the focus found on well one for all. Perhaps this should be done per FOV(?)
-
-# io parameters
-input_position_dirpaths = "./timelapse_1/registered_output.zarr/*/*/*"
-z_shifts_matrices_filepath = Path("./z_shifts.npy")
-output_data_path = "./registered_phase_z_stabilized_all_positions.zarr"
-
-# sbatch and resource parameters
-cpus_per_task = 32
-mem_per_cpu = "4G"
-time = 80  # minutes
-simultaneous_processes_per_node = 30
-Z_CHUNK = 5
-
-
-# Path handling
-input_position_dirpaths = natsorted(glob.glob(input_position_dirpaths))
-output_dir = os.path.dirname(output_data_path)
-
-output_paths = get_output_paths(input_position_dirpaths, output_data_path)
-click.echo(f"in: {input_position_dirpaths}, out: {output_paths}")
-slurm_out_path = str(os.path.join(output_dir, "slurm_output/register-%j.out"))
-
-# Additional registraion arguments
-input_position = open_ome_zarr(input_position_dirpaths[0])  # take position 0 to get metadata
-output_shape_zyx = input_position[0].shape[-3:]
-output_voxel_size = input_position.scale[-3:]
-chunk_zyx_shape = (Z_CHUNK, output_shape_zyx[-2], output_shape_zyx[-1])
-
-# Convert string paths to Path objects
-output_dirpath = Path(output_data_path)
-
-# Create the empty store
-create_empty_zarr(
-    position_paths=input_position_dirpaths,
-    output_path=output_dirpath,
-    output_zyx_shape=output_shape_zyx,
-    chunk_zyx_shape=chunk_zyx_shape,
-    voxel_size=tuple(output_voxel_size),
-)
-
-assert z_shifts_matrices_filepath.exists()
-z_shifts_matrices = np.load(z_shifts_matrices_filepath)
-
-extra_metadata = {}
-extra_arguments = {
-    "extra_metadata": extra_metadata,
-}
-
-# prepare slurm parameters
-params = SlurmParams(
-    partition="preempted",
-    cpus_per_task=cpus_per_task,
-    mem_per_cpu=mem_per_cpu,
-    time=datetime.timedelta(minutes=time),
-    output=slurm_out_path,
-)
-
-# wrap our utils.process_single_position() function with slurmkit
-slurm_process_single_position = slurm_function(apply_stabilization_over_time_ants)
-register_func = slurm_process_single_position(
-    list_of_shifts=z_shifts_matrices,
-    num_processes=simultaneous_processes_per_node,
-    **extra_arguments,
-)
-
-# generate an array of jobs by passing the in_path and out_path to slurm wrapped function
-register_jobs = [
-    submit_function(
-        register_func,
-        slurm_params=params,
-        input_data_path=in_path,
-        output_path=out_path,
-    )
-    for in_path, out_path in zip(input_position_dirpaths, output_paths)
-]
diff --git a/examples/slurmkit_example/slurmkit_volume_stabilization.py b/examples/slurmkit_example/slurmkit_stabilize.py
similarity index 100%
rename from examples/slurmkit_example/slurmkit_volume_stabilization.py
rename to examples/slurmkit_example/slurmkit_stabilize.py