diff --git a/results_simple/01_grid_overlay.png b/results_simple/01_grid_overlay.png
index 81d3168..3f56b7e 100644
Binary files a/results_simple/01_grid_overlay.png and b/results_simple/01_grid_overlay.png differ
diff --git a/results_simple/02_col_projection.png b/results_simple/02_col_projection.png
index ec94d4a..0465774 100644
Binary files a/results_simple/02_col_projection.png and b/results_simple/02_col_projection.png differ
diff --git a/results_simple/03_row_projection.png b/results_simple/03_row_projection.png
index 37a39c6..84afd77 100644
Binary files a/results_simple/03_row_projection.png and b/results_simple/03_row_projection.png differ
diff --git a/results_simple/04_histogram.png b/results_simple/04_histogram.png
index be052dd..0edfb14 100644
Binary files a/results_simple/04_histogram.png and b/results_simple/04_histogram.png differ
diff --git a/src/cDNA_gridding_simple.py b/src/cDNA_gridding_simple.py
index 0e528a5..e566e19 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/255（自适应）
+  灰度图 ──→ Otsu求像素最佳阈值 T ──→ 百分比 = T/2550（自适应，范围0~10%）
      │
      ├─→ 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/255)
+  4. 阈值 X = (max-min) × (T/2550)
 
   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 / 255.0                  # 归一化为百分比
+    pct = T / 2550.0                 # 自适应百分比（范围 0~10%）
     H, W = gray.shape
 
     # ---- 1. 横轴投影 ----
diff --git a/web/app.py b/web/app.py
index d6c14fc..9f2e278 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 / 255.0
+    pct = T / 2550.0
     H, W = gray.shape
     col_prof = np.sum(gray, axis=0).astype(float)
     row_prof = np.sum(gray, axis=1).astype(float)