python前后端分离实现svs医学影像在线预览

import io from tornado.web import Application, RequestHandler from tornado.ioloop import IOLoop from openslide import OpenSlide from openslide.deepzoom import DeepZoomGenerator from PIL import Image, ImageOps class SlideHandler(RequestHandler): def initialize(self, slide): tile_size = 256 # 每个瓦片的大小 overlap = 0 # 瓦片之间的重叠像素 limit_bounds = False # 是否限制瓦片在图像边界内 self.dz = DeepZoomGenerator(slide, tile_size=tile_size, overlap=overlap, limit_bounds=limit_bounds) def get(self, z, x, y): z = int(z) x = int(x) y = int(y) tile_size = 256 try: # 获取指定层级的瓦片 tile = self.dz.get_tile(z, (x, y)) # 获取原始图像的宽度和高度 original_width, original_height = tile.size # 如果图像已经是256x256，不需要填充 if original_width == tile_size and original_height == tile_size: padded_tile = tile else: # 创建一个新的256x256的黑色背景图像 padded_tile = Image.new("RGB", (tile_size, tile_size), color=(0, 0, 0)) # 将原图像粘贴到新的黑色背景图像上 padded_tile.paste(tile, (0, 0)) # tile = tile.convert("RGB") # tile = ImageOps.pad(tile, (tile_size, tile_size), color="black", centering=(0, 0)) # 将瓦片图像转换为JPEG格式并返回 output = io.BytesIO() tile = padded_tile tile.save(output, format="JPEG") self.set_header("Content-Type", "image/jpeg") self.write(output.getvalue()) except ValueError: # 请求超出图像边界，返回404错误 self.send_error(404) def make_app(): slide = OpenSlide('test.svs') # 加载SVS文件 return Application([ (r"/tiles/([0-9]+)/([0-9]+)/([0-9]+)", SlideHandler, dict(slide=slide)), ]) if __name__ == "__main__": app = make_app() app.listen(8888) IOLoop.current().start()