diff --git a/results_simple/test_01_grid.png b/results_simple/test_01_grid.png
index ba32b2f..f723323 100644
Binary files a/results_simple/test_01_grid.png and b/results_simple/test_01_grid.png differ
diff --git a/results_simple/test_02_col.png b/results_simple/test_02_col.png
index db0c5af..5b84194 100644
Binary files a/results_simple/test_02_col.png and b/results_simple/test_02_col.png differ
diff --git a/results_simple/test_03_row.png b/results_simple/test_03_row.png
new file mode 100644
index 0000000..4aa753a
Binary files /dev/null and b/results_simple/test_03_row.png differ
diff --git a/results_simple/test_04_hist.png b/results_simple/test_04_hist.png
new file mode 100644
index 0000000..56aa591
Binary files /dev/null and b/results_simple/test_04_hist.png differ
diff --git a/results_simple/test_05_seg.png b/results_simple/test_05_seg.png
new file mode 100644
index 0000000..84a4157
Binary files /dev/null and b/results_simple/test_05_seg.png differ
diff --git a/results_simple/test_06_clean.png b/results_simple/test_06_clean.png
new file mode 100644
index 0000000..f07701f
Binary files /dev/null and b/results_simple/test_06_clean.png differ
diff --git a/src/cDNA_gridding_simple.py b/src/cDNA_gridding_simple.py
index e566e19..37813b5 100644
--- a/src/cDNA_gridding_simple.py
+++ b/src/cDNA_gridding_simple.py
@@ -6,7 +6,7 @@ D:\ProgramData\anaconda3\envs\my_env\python.exe src/cDNA_gridding_simple.py
 
 一、算法流程总览
 
-  灰度图 ──→ Otsu求像素最佳阈值 T ──→ 百分比 = T/2550（自适应，范围0~10%）
+  灰度图 ──→ Otsu求像素最佳阈值 T ──→ 百分比 = T/255（自适应）
      │
      ├─→ 投影/减阈值/过零点配对 ──→ 网格线
      │
@@ -26,7 +26,7 @@ D:\ProgramData\anaconda3\envs\my_env\python.exe src/cDNA_gridding_simple.py
      横轴：np.sum(每列) → 曲线，高点=斑点列，低点=空隙列
      纵轴：np.sum(每行) → 曲线，高点=斑点行，低点=空隙行
 
-  4. 阈值 X = (max-min) × (T/2550)
+  4. 阈值 X = (max-min) × (T/255)
 
   5. 曲线减 X → 大于 0 = 斑点区域，小于 0 = 空隙
      过零点 = 斑点和空隙的分界线
@@ -112,7 +112,7 @@ def draw_grid_lines(gray: np.ndarray):
     返回 (纵线, 横线, T, pct, 列投影, 行投影, 减阈值后的列投影, 减阈值后的行投影)
     """
     T = otsu_threshold_pixels(gray)  # 像素级最佳阈值
-    pct = T / 2550.0                 # 自适应百分比（范围 0~10%）
+    pct = T / 255.0                  # 自适应百分比
     H, W = gray.shape
 
     # ---- 1. 横轴投影 ----
diff --git a/web/app.py b/web/app.py
index 9f2e278..d6c14fc 100644
--- a/web/app.py
+++ b/web/app.py
@@ -44,7 +44,7 @@ def otsu_threshold_pixels(gray):
 
 def draw_grid_lines(gray):
     T = otsu_threshold_pixels(gray)
-    pct = T / 2550.0
+    pct = T / 255.0
     H, W = gray.shape
     col_prof = np.sum(gray, axis=0).astype(float)
     row_prof = np.sum(gray, axis=1).astype(float)