diff --git a/flask_frontend.py b/flask_frontend.py
index 7f85205..9effa36 100644
--- a/flask_frontend.py
+++ b/flask_frontend.py
@@ -36,8 +36,6 @@ def ratio_pyro():
 
     return render_template(
         'results.jinja2',
-        # img_orig_path=img_orig_path,
-        # img_res_path=img_res_path,
         img_orig_b64=img_orig_b64,
         img_res_b64=img_res_b64,
         legend=key
diff --git a/ratio_pyrometry.py b/ratio_pyrometry.py
index 933a428..2b14302 100644
--- a/ratio_pyrometry.py
+++ b/ratio_pyrometry.py
@@ -2,7 +2,6 @@ import math
 import cv2 as cv
 import numpy as np
 from numba import jit
-import json
 
 @jit(nopython=True)
 def rg_ratio_normalize(
@@ -19,21 +18,23 @@ def rg_ratio_normalize(
     tmin = MAX_TEMP
     tmax = 0
 
-    imgnew = imgarr.copy()
+    # copy image into new array & chop off alpha values (if applicable)
+    imgnew = imgarr.copy()[:,:,:3]
+
     for i in range(len(imgarr)):
         for j in range(len(imgarr[i])):
             px = imgarr[i][j]
 
             # normalize R & G pixels
-            r_norm = (px[0] - I_Darkcurrent) * (f_stop ** 2) / (ISO * exposure_time)
             g_norm = (px[1] - I_Darkcurrent) * (f_stop ** 2) / (ISO * exposure_time)
+            r_norm = (px[2] - I_Darkcurrent) * (f_stop ** 2) / (ISO * exposure_time)
 
             # apply camera calibration func
-            temp_C = pyrometry_calibration_formula(g_norm, r_norm)
+            temp_C = pyrometry_calibration_formula(g_norm, r_norm, default=MIN_TEMP) 
 
             # remove pixels outside calibration range
-            if MAX_TEMP != None and temp_C > MAX_TEMP or MIN_TEMP != None and temp_C < MIN_TEMP:
-                temp_C = 0
+            if (MAX_TEMP != None and temp_C > MAX_TEMP) or (MIN_TEMP != None and temp_C < MIN_TEMP):
+                temp_C = MIN_TEMP
 
             # update min & max
             if temp_C < tmin and temp_C >= 0:
@@ -41,25 +42,34 @@ def rg_ratio_normalize(
             if temp_C > tmax:
                 tmax = temp_C
 
-            temp_C -= MIN_TEMP
+            # min intensity = 0
+            print(temp_C)
+            pix_i = temp_C - MIN_TEMP 
+
+            imgnew[i][j] = [pix_i, pix_i, pix_i]
+
+            # imgnew[i][j] = [0, g_norm, r_norm]
+
 
-            imgnew[i][j] = [temp_C, temp_C, temp_C]
     return imgnew, tmin, tmax
 
 
 @jit(nopython=True)
-def pyrometry_calibration_formula(i_ng, i_nr):
+def pyrometry_calibration_formula(i_ng, i_nr, default=24.0):
     """
     Given the green-red ratio, calculates an approximate temperature 
-    in Celsius.
+    in Celsius. Defaults to room temperature if there's an error.
     """
-    return 362.73 * math.log10(
-        (i_ng/i_nr) ** 3
-    ) + 2186.7 * math.log10(
-        (i_ng/i_nr) ** 2
-    ) + 4466.5 * math.log10(
-        (i_ng / i_nr)
-    ) + 3753.5
+    try:
+        return 362.73 * math.log10(
+            (i_ng/i_nr) ** 3
+        ) + 2186.7 * math.log10(
+            (i_ng/i_nr) ** 2
+        ) + 4466.5 * math.log10(
+            (i_ng / i_nr)
+        ) + 3753.5
+    except:
+        return default
 
 def ratio_pyrometry_pipeline(
     file_bytes,
@@ -99,20 +109,18 @@ def ratio_pyrometry_pipeline(
 
     # write colormapped image
     img_jet = cv.applyColorMap(img, cv.COLORMAP_JET)
-    # cv.imwrite(f'{file_name}-cropped-transformed-ratio.{file_ext}', img_jet)
 
     # --- Generate temperature key ---
 
     # adjust max & min temps to be the same as the image
-    # tmin_adj = tmin / (smoothing_radius ** 2)
-    # tmax_adj = tmax / (smoothing_radius ** 2)
-    # Generate 6-step key
-    step = (tmax - tmin) / (key_entries-1)
+    # Generate key
+    # step = (tmax - tmin) / (key_entries-1)
+    step = (MAX_TEMP - MIN_TEMP) / (key_entries)
     temps = []
     key_img_arr = [[]]
     for i in range(key_entries):
         res_temp = tmin + (i * step)
-        res_color = (tmax - (i * step)) / MAX_TEMP * 255
+        res_color = res_temp / MAX_TEMP * 255
         temps.append(math.floor(res_temp))
         key_img_arr[0].append([res_color, res_color, res_color])
 
@@ -122,7 +130,7 @@ def ratio_pyrometry_pipeline(
     tempkey = {}
     for i in range(len(temps)):
         c = key_img_jet[0][i]
-        tempkey[temps[i]] = f"rgb({c[0]}, {c[1]}, {c[2]})"
+        tempkey[temps[i]] = f"rgb({c[2]}, {c[1]}, {c[0]})"
 
     # original, transformed, legend
     return img_orig, img_jet, tempkey