diff --git a/gallery/tutorials/tutorials/apple_picker.py b/gallery/tutorials/tutorials/apple_picker.py
index 701e77dfe0..08ce582a65 100644
--- a/gallery/tutorials/tutorials/apple_picker.py
+++ b/gallery/tutorials/tutorials/apple_picker.py
@@ -4,6 +4,7 @@
 
 We demonstrate ASPIRE's particle picking methods using the ``Apple`` class.
 """
+
 import logging
 import os
 
diff --git a/gallery/tutorials/tutorials/basic_image_array.py b/gallery/tutorials/tutorials/basic_image_array.py
index a5a0dce33f..d82077770f 100644
--- a/gallery/tutorials/tutorials/basic_image_array.py
+++ b/gallery/tutorials/tutorials/basic_image_array.py
@@ -8,7 +8,6 @@
 whiten that noise using some tools from the ASPIRE pipeline.
 """
 
-
 import matplotlib.pyplot as plt
 import numpy as np
 from scipy.datasets import face
diff --git a/gallery/tutorials/tutorials/cov3d_simulation.py b/gallery/tutorials/tutorials/cov3d_simulation.py
index da75f998c8..85b90a8d24 100644
--- a/gallery/tutorials/tutorials/cov3d_simulation.py
+++ b/gallery/tutorials/tutorials/cov3d_simulation.py
@@ -5,6 +5,7 @@
 This script illustrates the example of Covariance 3D estimation using simulation images
 generated from Gaussian blob volumes.
 """
+
 import logging
 
 import numpy as np
diff --git a/gallery/tutorials/tutorials/preprocess_imgs_sim.py b/gallery/tutorials/tutorials/preprocess_imgs_sim.py
index 0d398c6743..a9dd9d78b4 100644
--- a/gallery/tutorials/tutorials/preprocess_imgs_sim.py
+++ b/gallery/tutorials/tutorials/preprocess_imgs_sim.py
@@ -5,6 +5,7 @@
 This script illustrates the preprocess steps implemented prior to starting the pipeline of
 reconstructing a 3D map using simulated 2D images.
 """
+
 import logging
 import os
 
diff --git a/src/aspire/basis/fpswf_2d.py b/src/aspire/basis/fpswf_2d.py
index 5476eed61d..21be9270d2 100644
--- a/src/aspire/basis/fpswf_2d.py
+++ b/src/aspire/basis/fpswf_2d.py
@@ -361,9 +361,9 @@ def _pswf_integration(self, images_nufft):
         )
         m = self.pswf_radial_quad.shape[1]
         for i in range(self.n_max):
-            coef_vec_quad[
-                :, self.indices_for_n[i] + np.arange(self.numel_for_n[i])
-            ] = np.dot(self.blk_r[i], r_n_eval_mat[i * m : (i + 1) * m, :]).T
+            coef_vec_quad[:, self.indices_for_n[i] + np.arange(self.numel_for_n[i])] = (
+                np.dot(self.blk_r[i], r_n_eval_mat[i * m : (i + 1) * m, :]).T
+            )
 
         return coef_vec_quad
 
diff --git a/src/aspire/image/image.py b/src/aspire/image/image.py
index 11ee7f412a..787725df83 100644
--- a/src/aspire/image/image.py
+++ b/src/aspire/image/image.py
@@ -360,9 +360,7 @@ def downsample(self, ds_res):
         # crop 2D Fourier transform for each image
         crop_fx = np.array([crop_pad_2d(fx[i], ds_res) for i in range(self.n_images)])
         # take back to real space, discard complex part, and scale
-        out = np.real(fft.centered_ifft2(crop_fx)) * (
-            ds_res**2 / self.resolution**2
-        )
+        out = np.real(fft.centered_ifft2(crop_fx)) * (ds_res**2 / self.resolution**2)
 
         return self.__class__(out).stack_reshape(original_stack_shape)
 
diff --git a/src/aspire/utils/logging.py b/src/aspire/utils/logging.py
index fc60cc6818..7a3151a3ea 100644
--- a/src/aspire/utils/logging.py
+++ b/src/aspire/utils/logging.py
@@ -1,6 +1,7 @@
 """
 Miscellaneous Utilities that relate to logging.
 """
+
 import logging
 import os.path
 import subprocess
diff --git a/src/aspire/utils/misc.py b/src/aspire/utils/misc.py
index b113bcf85b..f72efbaf14 100644
--- a/src/aspire/utils/misc.py
+++ b/src/aspire/utils/misc.py
@@ -1,6 +1,7 @@
 """
 Miscellaneous Utilities that have no better place (yet).
 """
+
 import hashlib
 import importlib.resources
 import logging
diff --git a/src/aspire/utils/resolution_estimation.py b/src/aspire/utils/resolution_estimation.py
index 8e2fee99c9..4f97c22e7d 100644
--- a/src/aspire/utils/resolution_estimation.py
+++ b/src/aspire/utils/resolution_estimation.py
@@ -1,6 +1,7 @@
 """
 This module contains code for estimating resolution achieved by reconstructions.
 """
+
 import logging
 import warnings