cfc/web/img/ref-screenshots/annotate_cell.py

from PIL import Image, ImageDraw, ImageFont
import os

def annotate_page(page_num, img_path, annotations, output_path):
    img = Image.open(img_path)
    draw = ImageDraw.Draw(img)
    
    # Try to use a Chinese font
    font_paths = [
        'C:/Windows/Fonts/simhei.ttf',
        'C:/Windows/Fonts/simsun.ttc',
    ]
    font_path = None
    for fp in font_paths:
        if os.path.exists(fp):
            font_path = fp
            break
    
    if font_path:
        try:
            font = ImageFont.truetype(font_path, 16)
            font_small = ImageFont.truetype(font_path, 13)
        except:
            font = ImageFont.load_default()
            font_small = ImageFont.load_default()
    else:
        font = ImageFont.load_default()
        font_small = ImageFont.load_default()
    
    for rect, text in annotations:
        # Draw red rectangle
        draw.rectangle(rect, outline='red', width=4)
        # Draw annotation text above the rectangle
        if text:
            draw.text((rect[0], rect[1] - 22), text, fill='red', font=font_small)
    
    img.save(output_path)
    print(f'Saved: {output_path}')

# Page 2: Summary section
annotate_page(
    2,
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p2.png',
    [
        # SUMMARY box (around y=350-700)
        ((60, 340, 1640, 700), 
         'SUMMARY: 肥胖导致慢性全身性炎症，引起胰岛素抵抗(IR) -> \u03b2细胞功能障碍 -> 2型糖尿病(T2D)'),
        # Paragraph about macrophages being the ultimate driver
        ((60, 720, 1640, 940),
         '促炎巨噬细胞在代谢组织中的募集和活化，是慢性低度炎症的终极驱动力')
    ],
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p2-annotated.png'
)

# Page 3: Immunometabolism
annotate_page(
    3,
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p3.png',
    [
        # Immunometabolism term
        ((60, 110, 1640, 410),
         '"免疫代谢"(immunometabolism)：炎症与代谢缺陷之间的相互作用'),
        # Drug limitation
        ((60, 440, 1640, 700),
         '所有降糖药中仅3类能预防并发症；除二甲双胍外，其他药物均不能延缓糖尿病进展')
    ],
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p3-annotated.png'
)

# Page 4: Inflammatory signaling mechanism
annotate_page(
    4,
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p4.png',
    [
        # TNF-alpha and IKK/NF-kB pathway
        ((60, 100, 1640, 420),
         'TNF-\u03b1 激活 JNK 和 IKK\u03b2 -> NF-\u03baB 核转位 -> 促炎细胞因子增加'),
        # Inflammasome
        ((60, 440, 1640, 700),
         '炎症小体(inflammasome)被葡萄糖和游离脂肪酸激活 -> 产生活性 IL-1\u03b2')
    ],
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p4-annotated.png'
)

# Page 5: Macrophage polarization in obese vs lean
annotate_page(
    5,
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p5.png',
    [
        # M1-like macrophages in obesity
        ((60, 100, 1640, 380),
         '肥胖时巨噬细胞向促炎M1样极化 -> 释放促炎细胞因子 -> 降低胰岛素信号'),
        # Omega-3 inhibits inflammation
        ((60, 400, 1640, 660),
         'Omega-3脂肪酸(GPR120受体)抑制M1样极化；饱和脂肪酸(TLR4)促进M1样极化'),
        # Crown-like structures
        ((60, 680, 1640, 900),
         '肥胖巨噬细胞聚集在萎缩脂肪细胞周围形成"冠状结构"')
    ],
    'D:/workspace/cfc/web/img/ref-screenshots/cell-inflammation-p5-annotated.png'
)

print('All annotations done.')