DE1326965U - - Google Patents

Info

Publication number
DE1326965U
DE1326965U DENDAT1326965D DE1326965DU DE1326965U DE 1326965 U DE1326965 U DE 1326965U DE NDAT1326965 D DENDAT1326965 D DE NDAT1326965D DE 1326965D U DE1326965D U DE 1326965DU DE 1326965 U DE1326965 U DE 1326965U
Authority
DE
Germany
Prior art keywords
microscopes
zueat
suglaich
sdrat
ohatelier
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
DENDAT1326965D
Other languages
German (de)
English (en)
Publication of DE1326965U publication Critical patent/DE1326965U/de
Active legal-status Critical Current

Links

Landscapes

  • Lenses (AREA)
  • Microscoopes, Condenser (AREA)
DENDAT1326965D Active DE1326965U (cg-RX-API-DMAC7.html)

Publications (1)

Publication Number Publication Date
DE1326965U true DE1326965U (cg-RX-API-DMAC7.html)

Family

ID=643771

Family Applications (1)

Application Number Title Priority Date Filing Date
DENDAT1326965D Active DE1326965U (cg-RX-API-DMAC7.html)

Country Status (1)

Country Link
DE (1) DE1326965U (cg-RX-API-DMAC7.html)

Similar Documents

Publication Publication Date Title
Liang et al. Towards robust event-guided low-light image enhancement: a large-scale real-world event-image dataset and novel approach
CN114638827B (zh) 一种润滑油机械杂质视觉检测方法及装置
EP1361468A2 (de) Autofokusverfahren für ein Mikroskop und System zum Einstellen des Fokus für ein Mikroskop
Guo et al. Fast auto-focusing search algorithm for a high-speed and high-resolution camera based on the image histogram feature function
CN109936696B (zh) 基于神经网络的光纤端面自动对焦的方法和相关装置
Morawski et al. Nod: Taking a closer look at detection under extreme low-light conditions with night object detection dataset
EP1602065A4 (en) EXPANSION DEPTH OF MICROSCOPY OF FOCUS
CN110646933A (zh) 基于多深度平面显微镜的自动聚焦系统和方法
CN111462075A (zh) 一种全切片数字病理图像模糊区域的快速重聚焦方法及系统
DE1326965U (cg-RX-API-DMAC7.html)
DE202016009070U1 (de) Optische Vorrichtung zur Detektion eines internen Fehlers eines transparenten Substrats
Ruiz-Santaquiteria et al. Parasitic egg detection with a deep learning ensemble
Yamato et al. High speed three dimensional tracking of swimming cell by synchronous modulation between tece camera and tag lens
DE202010006598U1 (de) Vorrichtung für Mikroskopie
Shajkofci et al. DeepFocus: a few-shot microscope slide auto-focus using a sample invariant CNN-based sharpness function
Bae et al. Lensless imaging with an end-to-end deep neural network
CN108369332A (zh) 显微镜观察系统、显微镜观察方法和显微镜观察程序
CN113899698B (zh) 一种面向原位测试平台的实时对焦和居中调整方法及装置
Jiang et al. OmniLens: Towards universal lens aberration correction via LensLib-to-specific domain adaptation
Hao et al. Improving the performances of autofocus based on adaptive retina-like sampling model
DE202011101011U1 (de) Mikrokamera für ein Endoskop
CN110348569B (zh) 基于卷积神经网络的实时光学层析方法和系统
Murugesan et al. Development of Automated High-Throughput Digital Microscopy With Deep Learning for Enhanced Blood Smear Imaging
CN118799210A (zh) 一种基于参考引导学习的少样本显微图像数字重聚焦方法
DE197907C (cg-RX-API-DMAC7.html)