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| 1 | PhaseStain:the digital staining of label-free quantitative phase microscopy images using deep learning显示文摘Using a deep neural network,we demonstrate a digital staining technique,which we term PhaseStain,to transform the quantitative phase images(QPI)of label-free tissue sections into images that are equivalent to the brightfield microscopy images of the same samples that are histologically stained.Through pairs of image data(QPI and the corresponding brightfield images,acquired after staining),we train a generative adversarial network and demonstrate the effectiveness of this virtual-staining approach using sections of human skin,kidney,and liver tissue,matching the brightfield microscopy images of the same samples stained with Hematoxylin and Eosin,Jones’stain,and Masson’s trichrome stain,respectively.This digital-staining framework may further strengthen various uses of label-free QPI techniques in pathology applications and biomedical research in general,by eliminating the need for histological staining,reducing sample preparation related costs and saving time.Our results provide a powerful example of some of the unique opportunities created by data-driven image transformations enabled by deep learning. | Yair Rivenson Tairan Liu Zhensong Wei Yibo Zhang Kevin de Haan Aydogan Ozcan | 2019 | Light(Science & Applications)2019,8,1: | 19 |
| 2 | Bright-field holography:cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram显示文摘Digital holographic microscopy enables the 3D reconstruction of volumetric samples from a single-snapshot hologram.However,unlike a conventional bright-field microscopy image,the quality of holographic reconstructions is compromised by interference fringes as a result of twin images and out-of-plane objects.Here,we demonstrate that cross-modality deep learning using a generative adversarial network(GAN)can endow holographic images of a sample volume with bright-field microscopy contrast,combining the volumetric imaging capability of holography with the speckle-and artifact-free image contrast of incoherent bright-field microscopy.We illustrate the performance of this“bright-field holography”method through the snapshot imaging of bioaerosols distributed in 3D,matching the artifact-free image contrast and axial sectioning performance of a high-NA bright-field microscope.This data-driven deep-learning-based imaging method bridges the contrast gap between coherent and incoherent imaging,and enables the snapshot 3D imaging of objects with bright-field contrast from a single hologram,benefiting from the wave-propagation framework of holography. | Yichen Wu Yilin Luo Gunvant Chaudhari Yair Rivenson Ayfer Calis Kevin de Haan Aydogan Ozcan | 2019 | Light(Science & Applications)2019,8,1: | 12 |
| 3 | Cyano-containing ionic liquids for the extraction of aromatic hydrocarbons from an aromatic/aliphatic mixture显示文摘Ionic liquids can replace conventional solvents in aromatic/aliphatic extractions, if they have higher aromatic distribution coef- ficients and higher or similar aromatic/aliphatic selectivities. Also physical properties, such as density and viscosity, must be taken into account if a solvent is applied in an industrial extraction process. Cyano-containing ionic liquids have a lower den- sity than the benchmark solvent sulfolane and a higher viscosity. Sulfolane is from a hydrodynamic point of view a better sol- vent than ionic liquids for the aromatic/aliphatic extraction. The most suitable ionic liquids for the extraction of aromatic hy- drocarbons from a mixture of aromatic and aliphatic hydrocarbons are [bmim]C(CN)3, [3-mebupy]N(CN)2, [3-mebupy]C(CN)3, [3-mebupy]B(CN)4 and [mebupyrr]B(CN)4. They have factors of 1.2-2.3 higher mass-based distribution coefficients than sul- folane and a similar or higher, up to a factor of 1.9 higher, aromatic/aliphatic selectivity than sulfolane. The IL [3-mebupy]N(CN)2 is a better extractant for the separation of toluene from a mixture of toluene/n-heptane in a pilot plant Ro- tating Disc Contactor (RDC) than sulfolane. | MEINDERSMA G. Wytze DE HAAN André B. | 2012 | Science China Chemistry2012,55,8: | 7 |
| 4 | Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue显示文摘Histological staining is a vital step in diagnosing various diseases and has been used for more than a century to provide contrast in tissue sections,rendering the tissue constituents visible for microscopic analysis by medical experts.However,this process is time consuming,labour intensive,expensive and destructive to the specimen.Recently,the ability to virtually stain unlabelled tissue sections,entirely avoiding the histochemical staining step,has been demonstrated using tissue-stain-specific deep neural networks.Here,we present a new deep-learning-based framework that generates virtually stained images using label-free tissue images,in which different stains are merged following a micro-structure map defined by the user.This approach uses a single deep neural network that receives two different sources of information as its input:(1)autofluorescence images of the label-free tissue sample and(2)a“digital staining matrix”,which represents the desired microscopic map of the different stains to be virtually generated in the same tissue section.This digital staining matrix is also used to virtually blend existing stains,digitally synthesizing new histological stains.We trained and blindly tested this virtual-staining network using unlabelled kidney tissue sections to generate micro-structured combinations of haematoxylin and eosin(H&E),Jones’silver stain,and Masson’s trichrome stain.Using a single network,this approach multiplexes the virtual staining of label-free tissue images with multiple types of stains and paves the way for synthesizing new digital histological stains that can be created in the same tissue cross section,which is currently not feasible with standard histochemical staining methods. | Yijie Zhang Kevin de Haan Yair Rivenson Jingxi Li Apostolos Delis Aydogan Ozcan | 2020 | Light(Science & Applications)2020,9,1: | 7 |
| 5 | Emerging Advances to Transform Histopathology Using Virtual Staining显示文摘In an age where digitization is widespread in clinical and preclinical workflows,pathology is still predominantly practiced by microscopic evaluation of stained tissue specimens affixed on glass slides.Over the last decade,new high throughput digital scanning microscopes have ushered in the era of digital pathology that,along with recent advances in machine vision,have opened up new possibilities for Computer-Aided-Diagnoses.Despite these advances,the high infrastructural costs related to digital pathology and the perception that the digitization process is an additional and nondirectly reimbursable step have challenged its widespread adoption.Here,we discuss how emerging virtual staining technologies and machine learning can help to disrupt the standard histopathology workflow and create new avenues for the diagnostic paradigm that will benefit patients and healthcare systems alike via digital pathology. | Yair Rivenson Kevin de Haan W.Dean Wallace Aydogan Ozcan | 2020 | Biomedical Engineering Frontiers2020,1,1: | 4 |
| 6 | 厚度依赖的聚合物稳定胆甾相液晶的电控红外反射器件(英文)显示文摘本文报道了基于聚合物胆甾相液晶的、可电场调控的红外反射器件的制备,并系统研究了器件厚度对器件性能的影响.即施加直流电场后,厚度较小的器件的反射带宽仅发生红移;厚度较大的器件的反射带宽增宽.这种现象是由于不同厚度的胆甾相液晶薄膜中不同的螺距梯度导致的.本工作的研究结果表明在制备基于聚合物胆甾相液晶的电控红外反射器件时,厚度是决定反射性能的重要因素.由于该红外反射器件具有较快的响应时间和较好的工作稳定性,在建筑和汽车等的节能窗领域有较好的应用前景. | 胡小文 Laurens T.de Haan Hitesh Khandelwal Albertus P.H.J.Schenning 辇理 周国富 | 2018 | Science China Materials2018,61,5: | 3 |
| 7 | Coxsackievirus mutants that can bypass host factor PI4KIIIβ and the need for high levels of PI4P lipids for replication显示文摘 | Hilde M van der Schaar Lonneke van der Linden Kjerstin H W Lanke Jeroen R P M Strating Gerhard Purstinger Erik de Vries Cornelis A M de Haan Johan Neyts Frank J M van Kuppeveld | 2012 | Cell Research2012,22,11: | 3 |
| 8 | Onset of nonlinear saturation for Rayleigh-Taylor growth in the presence of a full spectrum of mode显示文摘 | Haan S W | 1989 | Phys Rev A1989,39,11: | 2 |
| 9 | Transient loads on buildings in microburst and tornado winds显示文摘 | Anindya Sengupta Fred L. Haan Partha P. Sarkar Vasanth Balaramudu | 2008 | Journal of Wind Engineering & Industrial Aerodynamics2008,,10: | 2 |
| 10 | INTESTINAL CYTOSKELETON DEGRADATION PRECEDES TIGHT JUNCTION LOSS FOLLOWING HEMORRHAGIC SHOCK显示文摘 | Geertje Thuijls Jacco-Juri de Haan Joep P. M. Derikx Isabelle Daissormont M’hamed Hadfoune Erik Heineman Wim A. Buurman | 2009 | SHOCK2009,,2: | 2 |
| 11 | The Clinical Meaning of Rankin `Handicap’ Grades After Stroke显示文摘 | R. de Haan M. Limburg P. Bossuyt J. van der Meulen N. Aaronson | 1995 | Stroke A Journal of Cerebral Circulation1995,,11: | 2 |
| 12 | Post-hepatectomy liver regeneration in the context of bile acid homeostasis and the gut-liver signaling axis显示文摘Background:Liver regeneration following partial hepatectomy(PHx)is a complicated process involving multiple organs and several types of signaling networks.The bile acid-activated metabolic pathways occupy an auxiliary yet important chapter in the entire biochemical story.PHx is characterized by rapid but transient bile acid overload in the liver,which constitutes the first wave of proliferative signaling in the remnant hepatocytes.Bile acids trigger hepatocyte proliferation through activation of several nuclear receptors.Following biliary passage into the intestines,enterocytes reabsorb the bile acids,which results in the activation of farnesoid X receptor(FXR),the consequent excretion of fibroblast growth factor(FGF)19/FGF15,and its release into the enterohepatic circulation.FGF19/FGF15 subsequently binds to its cognate receptor,fibroblast growth factor receptor 4(FGFR4)complexed withβ-klotho,on the hepatocyte membrane,which initiates the second wave of proliferative signaling.Because some bile acids are toxic,the remnant hepatocytes must resolve the potentially detrimental state of bile acid excess.Therefore,the hepatocytes orchestrate a bile acid detoxification and elimination response as a protective mechanism in concurrence with the proliferative signaling.The response in part results in the excretion of(biotransformed)bile acids into the canalicular system,causing the bile acids to end up in the intestines.Relevance for patients:Recently,FXR agonists have been shown to promote regeneration via the gut-liver axis.This type of pharmacological intervention may prove beneficial for patients with hepatobiliary tumors undergoing PHx.In light of these developments,the review provides an in-depth account of the pathways that underlie post-PHx liver regeneration in the context of bile acid homeostasis in the liver and the gut-liver signaling axis. | Lianne de Haan Sarah Jvan der Lely Anne-Loes K.Warps Quincy Hofsink Pim B.Olthof Mark J.de Keijzer Daniel A.Lionarons Lionel Mendes-Dias Bote G.Bruinsma Korkut Uygun Hartmut Jaeschke Geoffrey C.Farrell Narci Teoh Rowan Fvan Golen Tiangang Li Michal Heger | 2018 | Journal of Clinical & Translational Research2018,4,1: | 2 |
| 13 | CETP as a Target in HDL-raising Therapy:lessons from APOE*3-Leiden. CETP Transgenic Mice显示文摘Background Cardiovascular disease (CVD) is mainly caused by atherosclerosis,for which dyslipidemia (i.e. high (V)LDL-cholesterol (C),high triglycerides and low HDLC is a major risk factor. To reduce the risk to develop CVD,patients with dyslipidemia are usually treated with lipid-lowering drugs including statins and fibrates. | Willeke de Haan Jitske de Vries-van der Weij Caroline C. van der Hoogt José W.A. van der Hoorn Johannes A. Romijn J. Wouter Jukema Louis M. Havekes Hans M.G. Princen Patrick C.N. Rensen | 2009 | 中国动脉硬化杂志2009,17,7: | 2 |
| 14 | Changing Governance of Supply Chains in the Building Industry: A Multiple Case Study显示文摘 | Job de Haan Geert-Jan Joosten | 2000 | European Journal of Purchansing & Supply Management2000,,6: | 1 |
| 15 | Biodiversity assessment using markers for ecologically important traits显示文摘 | Van TIENDEREN P H De HAAN A A Van der LINDEN C G | 2002 | Trends Ecol Evol2002,17,: | 1 |
| 16 | On the estimation of the extreme- value index and large quantile estimation 显示文摘 | Dekkers ALM Haan de L | 1989 | Annals of Statistics1989,17,4: | 1 |
| 17 | Prediction of poor outcome in anoxle-ischemic coma 显示文摘 | Zandbergen EG de Haan R J Koelman JH | 2000 | J Clin Neurophysiol2000,17,5: | 1 |
| 18 | Glutathione peroxidase - 1 contributes to the neuroprotection seen in the superoxide dismutase- 1 transgenic mouse in response to ischemia/reperfusion injury 显示文摘 | Crack PJ Taylor JM Haan JB | 2003 | J Cereb Blood Flow Metab2003,23,1: | 1 |
| 19 | Memory impairment in schizophrenia:A meta-analysis显示文摘 | Aleman A Hijman R De Haan EHF | 1999 | Am J Psychiatry1999,156,: | 1 |
| 20 | Update on ignition target fabrication specifications 显示文摘 | Haan S W Dittrich T Strobel G | 2002 | Fusion Sci Technol2002,41,: | 1 |