diff --git a/changelog.md b/changelog.md
index e5819f9..b454d52 100644
--- a/changelog.md
+++ b/changelog.md
@@ -8,6 +8,10 @@
 - Bad channels can now be dealt with by taking no action, removing them completely, or interpolating them based on their neighbours. Interpolation remains the default option
 - Fixed an underlying deprecation warning
 - Fixed an issue causing some overlay elements to not render on the brain for certain devices
+- Fixed a crash when rendering some Inter-Group images with only one participant in a group
+- Fixed a crash when attempting to fOLD channels without the fOLD dataset installed
+- Lowered the number of rectangles in the progress bar to 24 after combining some actions
+- Fixed the User Guide window to properly display information about the 24 stages and added a link to the Git wiki page
 
 
 # Version 1.1.7
diff --git a/flares.py b/flares.py
index c2b97c8..c5ed443 100644
--- a/flares.py
+++ b/flares.py
@@ -2578,7 +2578,10 @@ def plot_fir_model_results(df, raw_haemo, dm, selected_event, l_bound, u_bound):
     dm_cols_activity = np.where([f"{selected_event}" in c for c in dm.columns])[0]
     dm = dm[[dm.columns[i] for i in dm_cols_activity]]
 
-    lme = smf.mixedlm("theta ~ -1 + delay:TidyCond:Chroma", df, groups=df["ID"]).fit()
+    try:
+        lme = smf.mixedlm("theta ~ -1 + delay:TidyCond:Chroma", df, groups=df["ID"]).fit()
+    except:
+        lme = smf.ols("theta ~ -1 + delay:TidyCond:Chroma", df, groups=df["ID"]).fit() # type: ignore
 
     df_sum = statsmodels_to_results(lme)
     df_sum["delay"] = [int(n) for n in df_sum["delay"]]
@@ -3516,21 +3519,21 @@ def process_participant(file_path, progress_callback=None):
     if progress_callback: progress_callback(19)
     logger.info("19")
 
-    # Step 16: Plot GLM results
+    # Step 20: Generate GLM Results
     fig_glm_result = plot_glm_results(file_path, raw_haemo, glm_est, design_matrix)
     for name, fig in fig_glm_result:
         fig_individual[f"GLM {name}"] = fig
-    if progress_callback: progress_callback(21)
-    logger.info("21")
+    if progress_callback: progress_callback(20)
+    logger.info("20")
 
-    # Step 17: Plot channel significance
+    # Step 21: Generate Channel Significance
     fig_significance = individual_significance(raw_haemo, glm_est)
     for name, fig in fig_significance:
         fig_individual[f"Significance {name}"] = fig
-    if progress_callback: progress_callback(22)
-    logger.info("22")
+    if progress_callback: progress_callback(21)
+    logger.info("21")
 
-    # Step 18: cha, con, roi
+    # Step 22: Generate Channel, Region of Interest, and Contrast Results
     cha = glm_est.to_dataframe()
 
     # HACK: Comment out line 588 (self._renderer.show()) in _brain.py from MNE
@@ -3583,10 +3586,10 @@ def process_participant(file_path, progress_callback=None):
 
         contrast_dict[condition] = contrast_vector
 
-    if progress_callback: progress_callback(23)
-    logger.info("23")
+    if progress_callback: progress_callback(22)
+    logger.info("22")
 
-    # Compute contrast results
+    # Step 23: Compute Contrast Results
     contrast_results = {}
 
     for cond, contrast_vector in contrast_dict.items():
@@ -3597,10 +3600,10 @@ def process_participant(file_path, progress_callback=None):
 
     cha["ID"] = file_path
     
-    if progress_callback: progress_callback(24)
-    logger.info("24")
+    if progress_callback: progress_callback(23)
+    logger.info("23")
         
-
+    # Step 24: Finishing Up
     fig_bytes = convert_fig_dict_to_png_bytes(fig_individual)
 
     sanitize_paths_for_pickle(raw_haemo, epochs)
diff --git a/main.py b/main.py
index 1a6c8ac..d675642 100644
--- a/main.py
+++ b/main.py
@@ -498,29 +498,38 @@ class UserGuideWindow(QWidget):
 
         layout = QVBoxLayout()
         label = QLabel("Progress Bar Stages:", self)
-        label2 = QLabel("Stage 1: Load the snirf file\n"
-                        "Stage 2: Check the optode positions\n"
-                        "Stage 12: Get Short/Long Channels\n"
-                        "Stage 3: Scalp Coupling Index\n"
-                        "Stage 4: Signal to Noise Ratio\n"
-                        "Stage 5: Peak Spectral Power\n"
-                        "Stage 6: Identify bad channels\n"
-                        "Stage 7: Interpolate bad channels\n"
-                        "Stage 8: Optical Density\n"
-                        "Stage 9: Temporal Derivative Distribution Repair\n"
-                        "Stage 10: Beer Lambert Law\n"
-                        "Stage 11: Heart Rate Filtering\n"
-                        "Stage 13: Calculate Events from Annotations\n"
-                        "Stage 14: Epoch Calculations\n"
-                        "Stage 15: Design Matrix\n"
-                        "Stage 16: General Linear Model\n"
-                        "Stage 17: Generate Plots from the GLM\n"
-                        "Stage 18: Individual Significance\n"
-                        "Stage 19: Channel, Region of Interest, and Contrast Results\n"
-                        "Stage 20: Image Conversion\n", self)
+        label2 = QLabel("Stage 1: Preprocessing\n"
+                        "Stage 2: Trimming\n"
+                        "Stage 3: Verify Optode Placement\n"
+                        "Stage 4: Short/Long Cannels\n"
+                        "Stage 5: Heart Rate\n"
+                        "Stage 6: Scalp Coupling Index\n"
+                        "Stage 7: Signal to Noise Ratio\n"
+                        "Stage 8: Peak Spectral Power\n"
+                        "Stage 9: Bad Channels Handling\n"
+                        "Stage 10: Optical Density\n"
+                        "Stage 11: Temporal Derivative Distribution Repair Filtering\n"
+                        "Stage 12: Wavelet Filtering\n"
+                        "Stage 13: Haemoglobin Concentration\n"
+                        "Stage 14: Enhance Negative Correlation\n"
+                        "Stage 15: Filter\n"
+                        "Stage 16: Extracting Events\n"
+                        "Stage 17: Epoch Calculations\n"
+                        "Stage 18: Design Matrix\n"
+                        "Stage 19: General Linear Model\n"
+                        "Stage 20: Generate GLM Results\n"
+                        "Stage 21: Generate Channel Significance\n"
+                        "Stage 22: Generate Channel, Region of Interest, and Contrast Results\n"
+                        "Stage 23: Compute Contrast Results\n"
+                        "Stage 24: Finishing Up\n", self)
 
+        label3 = QLabel("For more information, visit the Git wiki page <a href='https://git.research.dezeeuw.ca/tyler/flares/wiki'>here</a>.", self)
+        label3.setTextFormat(Qt.TextFormat.RichText)
+        label3.setTextInteractionFlags(Qt.TextInteractionFlag.TextBrowserInteraction)
+        label3.setOpenExternalLinks(True)
         layout.addWidget(label)
         layout.addWidget(label2)
+        layout.addWidget(label3)
 
         self.setLayout(layout)
 
@@ -1244,7 +1253,7 @@ class ProgressBubble(QWidget):
         self.progress_layout = QHBoxLayout()
 
         self.rects = []
-        for _ in range(25):
+        for _ in range(24):
             rect = QFrame()
             rect.setFixedSize(10, 18)
             rect.setStyleSheet("background-color: white; border: 1px solid gray;")
@@ -2445,9 +2454,23 @@ class ParticipantFoldChannelsWidget(QWidget):
 
             for idx in selected_indexes:
                 if idx == 0:
-
-                    flares.fold_channels(haemo_obj)
-
+                    try:
+                        flares.fold_channels(haemo_obj)
+                    except:
+                        msg_box = QMessageBox()
+                        msg_box.setIcon(QMessageBox.Icon.Critical)
+                        msg_box.setWindowTitle("Something went wrong!")
+                        message = (
+                            "Unable to locate the fOLD files!<br><br>"
+                            f"Please download the 'Supplementary' folder from <a href='https://github.com/nirx/fOLD-public'>here</a>. "
+                            "Once the folder is downloaded, place it in C:/Users/your username/mne_data/fOLD/fOLD-public-master/Supplementary.<br><br>"
+                            "If you are not using Windows, please go to the FLARES Git page for more information."
+                        )
+                        msg_box.setTextFormat(Qt.TextFormat.RichText)
+                        msg_box.setText(message)
+                        msg_box.setTextInteractionFlags(Qt.TextInteractionFlag.TextBrowserInteraction)
+                        msg_box.setStandardButtons(QMessageBox.StandardButton.Ok)
+                        msg_box.exec()
                 else:
                     print(f"No method defined for index {idx}")