Zobrazeno 1 - 10
of 12 551
pro vyhledávání: '"AYDOGAN, A."'
Autor:
Han, Gyeo-Re, Goncharov, Artem, Eryilmaz, Merve, Ye, Shun, Joung, Hyou-Arm, Ghosh, Rajesh, Ngo, Emily, Tomoeda, Aoi, Lee, Yena, Ngo, Kevin, Melton, Elizabeth, Garner, Omai B., Di Carlo, Dino, Ozcan, Aydogan
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, we demonstrate high-sensitivity detection of cardiac troponin I (cTnI) through innovations
Externí odkaz:
http://arxiv.org/abs/2412.08945
Unidirectional optical systems enable selective control of light through asymmetric processing of radiation, effectively transmitting light in one direction while blocking unwanted propagation in the opposite direction. Here, we introduce a reciproca
Externí odkaz:
http://arxiv.org/abs/2412.06221
Autor:
Zhang, Yijie, Huang, Luzhe, Pillar, Nir, Li, Yuzhu, Migas, Lukasz G., Van de Plas, Raf, Spraggins, Jeffrey M., Ozcan, Aydogan
Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in biological tissue with unparalle
Externí odkaz:
http://arxiv.org/abs/2411.13120
Autor:
Barash, Danny, Manning, Emilie, Van Vleck, Aidan, Hirsch, Omri, Aye, Kyi Lei, Li, Jingxi, Scumpia, Philip O., Ozcan, Aydogan, Aasi, Sumaira, Rieger, Kerri E., Sarin, Kavita Y., Freifeld, Oren, Winetraub, Yonatan
Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to analyze this data and assist clinical workflow. The lack of expert label
Externí odkaz:
http://arxiv.org/abs/2411.11613
Autor:
Knierim, Matilda, Jain, Sahil, Aydoğan, Murat Han, Mitra, Kenneth, Desai, Kush, Saran, Akanksha, Baraka, Kim
Agent learning from human interaction often relies on explicit signals, but implicit social cues, such as prosody in speech, could provide valuable information for more effective learning. This paper advocates for the integration of prosody as a teac
Externí odkaz:
http://arxiv.org/abs/2410.23554
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based super-resolution virtual staining app
Externí odkaz:
http://arxiv.org/abs/2410.20073
Generative models cover various application areas, including image, video and music synthesis, natural language processing, and molecular design, among many others. As digital generative models become larger, scalable inference in a fast and energy-e
Externí odkaz:
http://arxiv.org/abs/2410.17970
Autor:
Fanous, Michael John, Seybold, Christopher Michael, Chen, Hanlong, Pillar, Nir, Ozcan, Aydogan
We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. BlurrySco
Externí odkaz:
http://arxiv.org/abs/2410.17557
We introduce an all-optical system, termed the "lying mirror", to hide input information by transforming it into misleading, ordinary-looking patterns that effectively camouflage the underlying image data and deceive the observers. This misleading tr
Externí odkaz:
http://arxiv.org/abs/2410.15521
Autor:
Li, Yuzhu, Li, Hao, Chen, Weijie, O'Riordan, Keelan, Mani, Neha, Qi, Yuxuan, Liu, Tairan, Mani, Sridhar, Ozcan, Aydogan
Distinguishing between swarming and swimming, the two principal forms of bacterial movement, holds significant conceptual and clinical relevance. This is because bacteria that exhibit swarming capabilities often possess unique properties crucial to t
Externí odkaz:
http://arxiv.org/abs/2410.15229