diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 4202f04e..7053663e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -9,7 +9,7 @@ repos:
     rev: 5.12.0
     hooks:
       - id: isort
-        args: ["--profile", "black", --line-length=72]
+        args: ["--profile", "black", --line-length=79]
   - repo: https://github.com/charliermarsh/ruff-pre-commit
     # Ruff version.
     rev: 'v0.0.262'
diff --git a/README.md b/README.md
index 0654ad41..011f072c 100644
--- a/README.md
+++ b/README.md
@@ -29,14 +29,15 @@ A napari plugin for 3D cell segmentation: training, inference, and data review.
 
 ## Installation
 
-Note : we recommend using conda to create a new environment for the plugin.
+**Note** : we recommend using conda to create a new environment for the plugin.
+**M1 Mac users, please see the [M1 install section](#m1-mac-users)**
 
     conda create --name napari-cellseg3d python=3.8
     conda activate napari-cellseg3d
 
 You can install `napari-cellseg3d` via [pip]:
 
-    pip install napari-cellseg3d
+    pip install napari-cellseg3d[all]
 
 OR directly via [napari-hub]:
 
@@ -44,12 +45,25 @@ OR directly via [napari-hub]:
 then from the “Plugins” menu within the napari application, select “Install/Uninstall Package(s)...”
 - Copy `napari-cellseg3d` and paste it where it says “Install by name/url…”
 - Click “Install”
+- Restart napari
+
+### M1 Mac users
+
+Create a new conda env using the provided conda/napari_cellseg3d_m1.yml file :
+
+        conda env create -f conda/napari_cellseg3d_m1.yml
+        conda activate napari_cellseg3d_m1
+
+Then install PyQt5 from conda separately :
+
+        conda install -c anaconda PyQt5
+
 
 ## Documentation
 
 Available at https://AdaptiveMotorControlLab.github.io/CellSeg3d
 
-You can also generate docs by running ``make html`` in the docs folder.
+You can also generate docs by running ``make html`` in the docs/ folder.
 
 ## Usage
 
diff --git a/conda/napari_cellseg3d_m1.yml b/conda/napari_cellseg3d_m1.yml
new file mode 100644
index 00000000..8209be9e
--- /dev/null
+++ b/conda/napari_cellseg3d_m1.yml
@@ -0,0 +1,26 @@
+name: napari_cellseg3d_m1
+channels:
+  - anaconda
+  - conda-forge
+  - defaults
+dependencies:
+    - python=3.8
+    - pip
+    - pip:
+        - numpy
+        - napari>=0.4.14
+        - QtPy
+        - opencv-python>=4.5.5
+        - scikit-image>=0.19.2
+        - matplotlib>=3.4.1
+        - tifffile>=2022.2.9
+        - imageio-ffmpeg>=0.4.5
+        - torch>=1.11
+        - monai[nibabel,einops]>=0.9.0
+        - tqdm
+        - nibabel
+        - scikit-image
+        - pillow
+        - tqdm
+        - matplotlib
+        - vispy>=0.9.6
diff --git a/napari_cellseg3d/code_models/model_workers.py b/napari_cellseg3d/code_models/model_workers.py
index 8b1caf8e..c5675a11 100644
--- a/napari_cellseg3d/code_models/model_workers.py
+++ b/napari_cellseg3d/code_models/model_workers.py
@@ -457,6 +457,7 @@ def model_output(
         #         self.config.model_info.get_model().get_output(model, inputs)
         #     )
 
+
         def model_output(inputs):
             return post_process_transforms(
                 self.config.model_info.get_model().get_output(model, inputs)
diff --git a/napari_cellseg3d/code_plugins/plugin_base.py b/napari_cellseg3d/code_plugins/plugin_base.py
index 7c5fbaa5..5191e66f 100644
--- a/napari_cellseg3d/code_plugins/plugin_base.py
+++ b/napari_cellseg3d/code_plugins/plugin_base.py
@@ -118,6 +118,7 @@ def show_menu(_, event):
 
     def _build_io_panel(self):
         self.io_panel = ui.GroupedWidget("Data")
+        self.save_label = ui.make_label("Save location :", parent=self)
 
         # self.io_panel.setToolTip("IO Panel")
 
@@ -130,6 +131,7 @@ def _build_io_panel(self):
                 self.filetype_choice,
                 self.image_filewidget,
                 self.labels_filewidget,
+                self.save_label,
                 self.results_filewidget,
             ],
         )
diff --git a/napari_cellseg3d/code_plugins/plugin_crop.py b/napari_cellseg3d/code_plugins/plugin_crop.py
index 5f502978..97485bf4 100644
--- a/napari_cellseg3d/code_plugins/plugin_crop.py
+++ b/napari_cellseg3d/code_plugins/plugin_crop.py
@@ -440,8 +440,8 @@ def _add_crop_sliders(
         for i in range(len(crop_sizes)):
             if crop_sizes[i] > im1_stack.shape[i]:
                 crop_sizes[i] = im1_stack.shape[i]
-                warnings.warn(
-                    f"WARNING : Crop dimension in axis {i} was too large at {crop_sizes[i]}, it was set to {im1_stack.shape[i]}"
+                logger.warning(
+                    f"Crop dimension in axis {i} was too large at {crop_sizes[i]}, it was set to {im1_stack.shape[i]}"
                 )
 
         cropx, cropy, cropz = crop_sizes
diff --git a/napari_cellseg3d/dev_scripts/convert.py b/napari_cellseg3d/dev_scripts/convert.py
index 129c16be..d772a1c2 100644
--- a/napari_cellseg3d/dev_scripts/convert.py
+++ b/napari_cellseg3d/dev_scripts/convert.py
@@ -2,7 +2,7 @@
 import os
 
 import numpy as np
-from dask_image.imread import imread
+from tifffile import imread
 from tifffile import imwrite
 
 # input_seg_path = "C:/Users/Cyril/Desktop/Proj_bachelor/code/pytorch-test3dunet/cropped_visual/train/lab"
@@ -19,8 +19,8 @@
     filenames.append(os.path.basename(filename))
     # print(os.path.basename(filename))
 for file in paths:
-    img = imread(file)
-    image = img.compute()
+    image = imread(file)
+    # image = img.compute()
 
     image[image >= 1] = 1
     image = image.astype(np.uint16)
diff --git a/napari_cellseg3d/dev_scripts/view_brain.py b/napari_cellseg3d/dev_scripts/view_brain.py
index e5879638..145d4e45 100644
--- a/napari_cellseg3d/dev_scripts/view_brain.py
+++ b/napari_cellseg3d/dev_scripts/view_brain.py
@@ -1,5 +1,5 @@
 import napari
-from dask_image.imread import imread
+from tifffile import imread
 
 y = imread("/Users/maximevidal/Documents/3drawdata/wholebrain.tif")
 
diff --git a/napari_cellseg3d/dev_scripts/view_sample.py b/napari_cellseg3d/dev_scripts/view_sample.py
index 329944ac..8e87f85c 100644
--- a/napari_cellseg3d/dev_scripts/view_sample.py
+++ b/napari_cellseg3d/dev_scripts/view_sample.py
@@ -1,5 +1,5 @@
 import napari
-from dask_image.imread import imread
+from tifffile import imread
 
 # Visual
 x = imread(
diff --git a/napari_cellseg3d/utils.py b/napari_cellseg3d/utils.py
index 7897fdf3..6a3b57d3 100644
--- a/napari_cellseg3d/utils.py
+++ b/napari_cellseg3d/utils.py
@@ -4,7 +4,6 @@
 from pathlib import Path
 
 import numpy as np
-from dask_image.imread import imread as dask_imread
 from pandas import DataFrame
 from pandas import Series
 from skimage import io
@@ -301,7 +300,7 @@ def check_csv(project_path, ext):
         filename_pattern_original = Path(project_path) / Path(
             f"dataset/Original_size/Original/*{ext}"
         )
-        images_original = dask_imread(filename_pattern_original)
+        images_original = tfl_imread(filename_pattern_original)
         z, y, x = images_original.shape
         record = Series(
             [
@@ -426,7 +425,9 @@ def get_time_filepath():
     return "{:%H_%M_%S}".format(datetime.now())
 
 
-def load_images(dir_or_path, filetype="", as_folder: bool = False):
+def load_images(
+    dir_or_path, filetype="", as_folder: bool = False
+):  # TODO(cyril):refactor w/o as_folder
     """Loads the images in ``directory``, with different behaviour depending on ``filetype`` and ``as_folder``
 
     * If ``as_folder`` is **False**, will load the path as a single 3D **.tif** image.
@@ -446,7 +447,7 @@ def load_images(dir_or_path, filetype="", as_folder: bool = False):
         as_folder (bool): Whether to load a folder of images as stack or a single 3D image
 
     Returns:
-        dask.array.Array: dask array with loaded images
+        np.array: array with loaded images
     """
 
     if not as_folder:
@@ -459,7 +460,12 @@ def load_images(dir_or_path, filetype="", as_folder: bool = False):
         raise ValueError("If loading as a folder, filetype must be specified")
 
     if as_folder:
-        images_original = dask_imread(filename_pattern_original)
+        try:
+            images_original = tfl_imread(filename_pattern_original)
+        except ValueError:
+            LOGGER.error(
+                "Loading a stack this way is no longer supported. Use napari to load a stack."
+            )
     else:
         images_original = tfl_imread(
             filename_pattern_original
diff --git a/notebooks/full_plot.ipynb b/notebooks/full_plot.ipynb
index 857384d4..5c640e1b 100644
--- a/notebooks/full_plot.ipynb
+++ b/notebooks/full_plot.ipynb
@@ -11,9 +11,21 @@
     "import os\n",
     "import numpy as np\n",
     "from PIL import Image\n",
-    "from dask_image.imread import imread"
+    "from tifffile import imread"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "!{sys.executable} -m pip install plotly"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "markdown",
    "id": "cb6ce5bf-0a09-46a4-988c-2183d09a8211",
diff --git a/pyproject.toml b/pyproject.toml
index 4ecb1b86..11b8dced 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,17 +9,15 @@ authors = [
 requires-python = ">=3.8"
 dependencies = [
     "numpy",
-    "napari[all]>=0.4.14",
+    "napari>=0.4.14",
     "QtPy",
     "opencv-python>=4.5.5",
-    "dask-image>=0.6.0",
     "scikit-image>=0.19.2",
     "matplotlib>=3.4.1",
     "tifffile>=2022.2.9",
     "imageio-ffmpeg>=0.4.5",
     "torch>=1.11",
     "monai[nibabel,einops]>=0.9.0",
-    "itk",
     "tqdm",
     "nibabel",
     "scikit-image",
@@ -54,10 +52,14 @@ profile = "black"
 line_length = 79
 
 [project.optional-dependencies]
+all = [
+    "napari[all]>=0.4.14",
+]
 dev = [
     "isort",
     "black",
     "ruff",
+    "tuna",
     "pre-commit",
 ]
 docs = [
diff --git a/requirements.txt b/requirements.txt
index 3ba73405..f97de33c 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -17,6 +17,6 @@ matplotlib>=3.4.1
 tifffile>=2022.2.9
 imageio-ffmpeg>=0.4.5
 torch>=1.11
-monai[nibabel,scikit-image,itk,einops]>=0.9.0
+monai[nibabel,scikit-image,einops]>=0.9.0
 pillow
 vispy>=0.9.6
diff --git a/setup.cfg b/setup.cfg
index e12775ca..3a0bdaae 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,35 +1,3 @@
-[metadata]
-name = napari-cellseg3d
-version = 0.0.2rc6
-author = Cyril Achard, Maxime Vidal, Jessy Lauer, Mackenzie Mathis
-author_email = cyril.achard@epfl.ch, maxime.vidal@epfl.ch, mackenzie@post.harvard.edu
-
-license = MIT
-description = plugin for cell segmentation
-long_description = file: README.md
-long_description_content_type = text/markdown
-classifiers =
-    Development Status :: 2 - Pre-Alpha
-    Intended Audience :: Science/Research
-    Framework :: napari
-    Topic :: Software Development :: Testing
-    Programming Language :: Python
-    Programming Language :: Python :: 3
-    Programming Language :: Python :: 3.8
-    Programming Language :: Python :: 3.9
-    Programming Language :: Python :: 3.10
-    Operating System :: OS Independent
-    License :: OSI Approved :: MIT License
-    Topic :: Scientific/Engineering :: Artificial Intelligence
-    Topic :: Scientific/Engineering :: Image Processing
-    Topic :: Scientific/Engineering :: Visualization
-
-url = https://github.com/AdaptiveMotorControlLab/CellSeg3d
-project_urls =
-    Bug Tracker = https://github.com/AdaptiveMotorControlLab/CellSeg3d/issues
-    Documentation = https://adaptivemotorcontrollab.github.io/cellseg3d-docs/res/welcome.html
-    Source Code = https://github.com/AdaptiveMotorControlLab/CellSeg3d
-
 [options]
 packages = find:
 include_package_data = True
@@ -37,38 +5,9 @@ python_requires = >=3.8
 package_dir =
     =.
 
-# add your package requirements here
-# the long list after monai is due to monai optional requirements... Not sure how to know in advance which readers it wil use
-install_requires =
-    numpy
-    napari[all]>=0.4.14
-    QtPy
-    opencv-python>=4.5.5
-    dask-image>=0.6.0
-    scikit-image>=0.19.2
-    matplotlib>=3.4.1
-    tifffile>=2022.2.9
-    imageio-ffmpeg>=0.4.5
-    torch>=1.11
-    monai[nibabel,einops]>=0.9.0
-    itk
-    tqdm
-    nibabel
-    scikit-image
-    pillow
-    tqdm
-    matplotlib
-    vispy>=0.9.6
-
 [options.packages.find]
 where = .
 
-[options.package_data]
-napari-cellseg3d =
-  res/*.png
-  code_models/models/pretrained/*.json
-  napari.yaml
-
 [options.entry_points]
 napari.manifest =
     napari-cellseg3d = napari_cellseg3d:napari.yaml
diff --git a/tox.ini b/tox.ini
index 3409f43c..292b8fa4 100644
--- a/tox.ini
+++ b/tox.ini
@@ -29,7 +29,7 @@ passenv =
 deps =
     pytest  # https://docs.pytest.org/en/latest/contents.html
     pytest-cov  # https://pytest-cov.readthedocs.io/en/latest/
-    dask-image
+;    dask-image
 ;    # you can remove these if you don't use them
     napari
     PyQt5