diff --git a/poetry.lock b/poetry.lock
index 51e9456..2d7c7c5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -4779,33 +4779,34 @@ test = ["pathos (>=0.3.2)", "pytest", "pytest-cov"]
 
 [[package]]
 name = "scikit-image"
-version = "0.25.0"
+version = "0.25.2"
 description = "Image processing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "scikit_image-0.25.2-cp312-cp312-win_amd64.whl", hash = "sha256:bdd2b8c1de0849964dbc54037f36b4e9420157e67e45a8709a80d727f52c7da2"},
+    {file = "scikit_image-0.25.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7efa888130f6c548ec0439b1a7ed7295bc10105458a421e9bf739b457730b6da"},
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+    {file = "scikit_image-0.25.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8abd3c805ce6944b941cfed0406d88faeb19bab3ed3d4b50187af55cf24d147"},
+    {file = "scikit_image-0.25.2-cp313-cp313-win_amd64.whl", hash = "sha256:64785a8acefee460ec49a354706db0b09d1f325674107d7fa3eadb663fb56d6f"},
+    {file = "scikit_image-0.25.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:330d061bd107d12f8d68f1d611ae27b3b813b8cdb0300a71d07b1379178dd4cd"},
+    {file = "scikit_image-0.25.2.tar.gz", hash = "sha256:e5a37e6cd4d0c018a7a55b9d601357e3382826d3888c10d0213fc63bff977dde"},
 ]
 
 [package.dependencies]
@@ -4815,16 +4816,16 @@ networkx = ">=3.0"
 numpy = ">=1.24"
 packaging = ">=21"
 pillow = ">=10.1"
-scipy = ">=1.11.2"
+scipy = ">=1.11.4"
 tifffile = ">=2022.8.12"
 
 [package.extras]
-build = ["Cython (>=3.0.8)", "build (>=1.2.1)", "meson-python (>=0.16)", "ninja (>=1.11.1.1)", "numpy (>=2.0)", "pythran (>=0.16)", "setuptools (>=68)", "spin (==0.13)"]
+build = ["Cython (>=3.0.8)", "build (>=1.2.1)", "meson-python (>=0.16)", "ninja (>=1.11.1.1)", "numpy (>=2.0)", "pythran (>=0.16)", "spin (==0.13)"]
 data = ["pooch (>=1.6.0)"]
 developer = ["ipython", "pre-commit", "tomli ; python_version < \"3.11\""]
-docs = ["PyWavelets (>=1.6)", "dask[array] (>=2022.9.2)", "intersphinx-registry (>=0.2411.14)", "ipykernel", "ipywidgets", "kaleido (==0.2.1)", "matplotlib (>=3.7)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=2.0)", "plotly (>=5.20)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.16)", "pytest-doctestplus", "scikit-learn (>=1.2)", "seaborn (>=0.11)", "sphinx (>=8.0)", "sphinx-copybutton", "sphinx-gallery[parallel] (>=0.18)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
-optional = ["PyWavelets (>=1.6)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=0.2.1)", "dask[array] (>=2021.1.0,!=2024.8.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0)", "pyamg (>=5.2)", "scikit-learn (>=1.2)"]
-test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-cov (>=2.11.0)", "pytest-doctestplus", "pytest-faulthandler", "pytest-localserver"]
+docs = ["PyWavelets (>=1.6)", "dask[array] (>=2023.2.0)", "intersphinx-registry (>=0.2411.14)", "ipykernel", "ipywidgets", "kaleido (==0.2.1)", "matplotlib (>=3.7)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=2.0)", "plotly (>=5.20)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.16)", "pytest-doctestplus", "scikit-learn (>=1.2)", "seaborn (>=0.11)", "sphinx (>=8.0)", "sphinx-copybutton", "sphinx-gallery[parallel] (>=0.18)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
+optional = ["PyWavelets (>=1.6)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=1.1.1)", "dask[array] (>=2023.2.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0)", "pyamg (>=5.2)", "scikit-learn (>=1.2)"]
+test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=8)", "pytest-cov (>=2.11.0)", "pytest-doctestplus", "pytest-faulthandler", "pytest-localserver"]
 
 [[package]]
 name = "scikit-learn"
@@ -6156,4 +6157,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.12"
-content-hash = "0316cbc495691c8948e38489fc8eeb47ecb267d5e1d426f22f527b6677d98503"
+content-hash = "dfc44ed3a7bb05479a0caf7e83a3d5808fdb84073506a2326c8e5b0c9a09626e"
diff --git a/pyproject.toml b/pyproject.toml
index e34de5e..36b281b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,7 @@ plotly = "6.6.0" # interactive plotting library
 tensorboard = "2.20.0" # inspection tool for deep learning
 openTSNE = "1.0.2" # fast t-SNE implementation
 SAlib = "1.5.2" # sensitivity analysis library
-scikit-image = "0.25.0" # image processing library
+scikit-image = "0.25.2" # image processing library
 optuna = "4.8.0" # hyperparameter optimization library
 hyppo = "^0.5.1" # hyppo
 future = "1.0.0" # Comptability between python2/3