Results 71 to 80 of about 574 (93)

Quantitative profiling of lysosomal accumulation through label-free biomarkers via High-Content Holo-Tomographic Flow Cytometry

Pirone D, Schiavo M, Giugliano G, Montefusco S, Miccio L, Memmolo P, Medina DL, Ferraro P.   +7 more
europepmc   +1 more source

Roadmap on computational methods in optical imaging and holography [invited]. [PDF]

Appl Phys B
Rosen J, Alford S, Allan B, Anand V, Arnon S, Arockiaraj FG, Art J, Bai B, Balasubramaniam GM, Birnbaum T, Bisht NS, Blinder D, Cao L, Chen Q, Chen Z, Dubey V, Egiazarian K, Ercan M, Forbes A, Gopakumar G, Gao Y, Gigan S, Gocłowski P, Gopinath S, Greenbaum A, Horisaki R, Ierodiaconou D, Juodkazis S, Karmakar T, Katkovnik V, Khonina SN, Kner P, Kravets V, Kumar R, Lai Y, Li C, Li J, Li S, Li Y, Liang J, Manavalan G, Mandal AC, Manisha M, Mann C, Marzejon MJ, Moodley C, Morikawa J, Muniraj I, Narbutis D, Ng SH, Nothlawala F, Oh J, Ozcan A, Park Y, Porfirev AP, Potcoava M, Prabhakar S, Pu J, Rai MR, Rogalski M, Ryu M, Choudhary S, Salla GR, Schelkens P, Şener SF, Shevkunov I, Shimobaba T, Singh RK, Singh RP, Stern A, Sun J, Zhou S, Zuo C, Zurawski Z, Tahara T, Tiwari V, Trusiak M, Vinu RV, Volotovskiy SG, Yılmaz H, De Aguiar HB, Ahluwalia BS, Ahmad A.   +82 more
europepmc   +1 more source

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Quantification of mammalian tumor cell state plasticity with digital holographic cytometry

Quantitative Phase Imaging IV, 2018
Individual cells within isogenic tumor populations can exhibit distinct cellular morphologies, behaviors, and molecular profiles. Cell state plasticity refers to the propensity of a cell to transition between these different morphologies and behaviors.
Jun Song, Robert Judson-Torres, Aparna Jorapur   +2 more
exaly   +2 more sources

Real-time three-dimensional counting and shape measurement of RBCs using digital holographic cytometry

Proceedings of SPIE, 2017
Digital holography is a useful technique for recording and reconstruction of the complex amplitude of an optical field. In this technique, an interference pattern of two waves is detected by an image sensor, and digital holograms are acquired in computer. The wavefront is reconstructed by a numerical calculation. In this study, we present the real-time
Yoshihisa Aizu, Hideki Funamizu
exaly   +2 more sources

Optical analysis of nanomaterial-cell interactions: flow cytometry and digital holographic microscopy

Proceedings of SPIE, 2015
The in vitro cytotoxicity assessment of engineered nanoparticles commonly involves the measurement of different endpoints like the formation of reactive oxygen species, cell viability or cell death. Usually these parameters are determined by optical readouts of enzymatically converted substrates that often interfere with the tested nanomaterials. Using
Juergen Schnekenburger, Björn Kemper
exaly   +2 more sources

Quantitative phase imaging of cells in a flow cytometry arrangement utilizing Michelson interferometer‐based off‐axis digital holographic microscopy

Journal of Biophotonics, 2019
AbstractWe combined Michelson‐interferometer‐based off‐axis digital holographic microscopy (DHM) with a common flow cytometry (FCM) arrangement. Utilizing object recognition procedures and holographic autofocusing during the numerical reconstruction of the acquired off‐axis holograms, sharply focused quantitative phase images of suspended cells in flow
Veselina Trendafilova, Burkhard Greve, Baoli Yao   +2 more
exaly   +3 more sources

Quantitative imaging flow cytometry based on digital holographic microscopy

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, 2023
Natan T Shaked
exaly   +2 more sources

Cell identification using machine learning of red blood cells and blood coagulation structures in flow cytometry using digital holographic microscopy

Advances in Microscopic Imaging V
Digital holographic microscopy is one of the effective techniques for quantitative phase imaging and plays an important role in bioimaging, such as measuring the thickness or refractive index of biological cells and cell morphology. In this study, we report the cell identification using machine learning of morphological parameters based on phase ...
Hideki Funamizu
exaly   +2 more sources

Evaluation of hydrodynamic focusing in a microfluidic channel for flexible high-throughput analysis in digital holographic imaging flow cytometry

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, 2023
Juergen Schnekenburger, Björn Kemper, Alvaro Barroso Pena   +2 more
exaly   +2 more sources

Multimodal imaging flow cytometry based on single capture bright field and digital holographic microscopy for the analysis of living cells

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, 2023
Vicente Mico, Björn Kemper, JOSÉ Ángel Picazo Bueno   +2 more
exaly   +2 more sources