| 一鍵式實(shí)時(shí)超分辨圖像拍攝預(yù)覽
? 延續(xù)傳統(tǒng)倒置熒光顯微鏡操控習(xí)慣 ? 極大提高實(shí)驗(yàn)效率、助力快速定位樣本ROI ? 極速甄別實(shí)驗(yàn)質(zhì)量、調(diào)整成像方案
超分辨從“膠片時(shí)代”跨進(jìn)“數(shù)碼時(shí)代”
? “超分辨膠片時(shí)代”——傳統(tǒng)SIM: 需經(jīng)過(guò)圖像采集及長(zhǎng)耗時(shí)的重建后才可判斷其質(zhì)量 操作繁瑣,效率低下,積累無(wú)效數(shù)據(jù)且成功率難保證 ? “超分辨數(shù)碼時(shí)代”——實(shí)時(shí)SIM: 實(shí)現(xiàn)2D及3D所有超分辨模式下的高幀頻 刷新(24Hz)圖像顯示,可實(shí)現(xiàn)Live(預(yù)覽) 模式的多色同時(shí)超分辨圖像拍攝(含采集+重建全過(guò)程) |
| 稀疏解卷積提升活細(xì)胞分辨率至60 nm
? 原創(chuàng)技術(shù)是國(guó)際通過(guò)同行評(píng)審、可在活細(xì)胞動(dòng)態(tài)觀測(cè)上實(shí)現(xiàn)60 nm分辨率的熒光顯微成像方法 可在光學(xué)超分辨基礎(chǔ)上進(jìn)一步實(shí)現(xiàn)計(jì)算超分辨
? 適用于多種生物樣本類(lèi)型并全面實(shí)現(xiàn)自動(dòng)化選參
? 能夠自動(dòng)根據(jù)細(xì)胞/細(xì)胞器類(lèi)型、時(shí)空?qǐng)D像結(jié)構(gòu)以及圖像信噪比的實(shí)際情況為用戶(hù)待處理的圖像數(shù)據(jù) 推薦的模型參數(shù)和計(jì)算參數(shù),無(wú)需用戶(hù)自行調(diào)參、搜參
? 針對(duì)各類(lèi)熒光顯微數(shù)據(jù)均可實(shí)現(xiàn)計(jì)算超分辨提高 詳見(jiàn)MicroscopeX FINER(通用型熒光圖像增強(qiáng)軟件,包含稀疏解卷積超分辨率算法)介紹
* Xiaoshuai Huang, Junchao Fan, Liuju Li, Haosen Liu, Runlong Wu, Yi Wu, Lisi Wei, Heng Mao, Amit Lal, Peng Xi, Liqiang Tang, Yunfeng Zhang, Yanmei Liu, Shan Tan* & Liangyi Chen*. Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy. Nature Biotechnology, 2018. “2018年中國(guó)光學(xué)進(jìn)展” **Weisong Zhao, Shiqun Zhao, Liuju Li, Xiaoshuai Huang, Shijia Xing, Yulin Zhang, Guohua Qiu, Zhenqian Han, Yingxu Shang, De-en Sun, Chunyan Shan, Runlong Wu, Shuwen Zhang, Riwang, Chen, Jian Xiao, Yanquan Mo, Jianyong Wang, Wi Ji, Xing Chen, Baoquan Ding, Yanmei Liu, Heng Mao, Baoliang Song, Jiubin Tan, Jian Liu, Haoyu Li*, Liangyi Chen.* Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy. Nature Biotechnology, 2021. “2021年中國(guó)光學(xué)領(lǐng)域社會(huì)影響力事件” |