21.4.4.6 Fluorescence Analysis, Microscopic Analysis, Cells

Ramjiawan, B., Ariano, R.E., Mantsch, H.H., Maiti, P., Jackson, M.,
Immunofluorescence imaging as a tool for studying the pharmacokinetics of a human monoclonal single chain fragment antibody,
MedImg(21), No. 10, October 2002, pp. 1317-1323.
IEEE Top Reference. 0301
BibRef

Lehmussola, A., Ruusuvuori, P., Selinummi, J., Huttunen, H., Yli-Harja, O.,
Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations,
MedImg(26), No. 7, July 2007, pp. 1010-1016.
IEEE DOI 0707
BibRef

Lehmussola, A., Ruusuvuori, P., Selinummi, J., Rajala, T., Yli-Harja, O.,
Synthetic Images of High-Throughput Microscopy for Validation of Image Analysis Methods,
PIEEE(96), No. 8, August 2008, pp. 1348-1360.
IEEE DOI 0804
BibRef

Jackson, C.[Charles], Murphy, R.F.[Robert F.], Kovacevic, J.[Jelena],
Intelligent Acquisition and Learning of Fluorescence Microscope Data Models,
IP(18), No. 9, September 2009, pp. 2071-2084.
IEEE DOI 0909
BibRef
Earlier:
Efficient Acquisition and Learning of Fluorescence Microscope Data Models,
ICIP07(VI: 245-248).
IEEE DOI 0709
BibRef

Srinivasa, G.[Gowri], Fickus, M.C.[Matthew C.], Guo, Y., Linstedt, A.D., Kovacevic, J.[Jelena],
Active Mask Segmentation of Fluorescence Microscope Images,
IP(18), No. 8, August 2009, pp. 1817-1829.
IEEE DOI 0907
BibRef

McCann, M.T., Mixon, D.G., Fickus, M.C., Castro, C.A., Ozolek, J.A., Kovacevic, J.,
Images as Occlusions of Textures: A Framework for Segmentation,
IP(23), No. 5, May 2014, pp. 2033-2046.
IEEE DOI 1405
deconvolution BibRef

Alacam, B., Yazici, B.,
Direct Reconstruction of Pharmacokinetic-Rate Images of Optical Fluorophores From NIR Measurements,
MedImg(28), No. 9, September 2009, pp. 1337-1353.
IEEE DOI 0909
BibRef

Boulanger, J., Kervrann, C., Bouthemy, P., Elbau, P., Sibarita, J.B., Salamero, J.,
Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences,
MedImg(29), No. 2, February 2010, pp. 442-454.
IEEE DOI 1002
BibRef

Woolfe, F., Gerdes, M., Bello, M., Tao, X., Can, A.,
Autofluorescence Removal by Non-Negative Matrix Factorization,
IP(20), No. 4, April 2011, pp. 1085-1093.
IEEE DOI 1103
Tissue autofluorescence. BibRef

Kolev, K.[Kalin], Kirchgessner, N.[Norbert], Houben, S.[Sebatian], Csiszar, A.[Agnes], Rubner, W.[Wolfgang], Palm, C.[Christoph], Eiben, B.[Bjorn], Merkel, R.[Rudolf], Cremers, D.[Daniel],
A variational approach to vesicle membrane reconstruction from fluorescence imaging,
PR(44), No. 12, December 2011, pp. 2944-2958.
Elsevier DOI 1107
3D segmentation; Convex optimization; Vesicle membrane analysis; Fluorescence imaging BibRef

Maalouf, E.[Elie], Colicchio, B.[Bruno], Dieterlen, A.[Alain],
Fluorescence microscopy three-dimensional depth variant point spread function interpolation using Zernike moments,
JOSA-A(28), No. 9, September 2011, pp. 1864-1870.
WWW Link. 1110
BibRef

Delpiano, J.[José], Jara, J.[Jorge], Scheer, J.[Jan], Ramírez, O.A.[Omar A.], Ruiz-del-Solar, J.[Javier], Härtel, S.[Steffen],
Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy,
MVA(23), No. 4, July 2012, pp. 675-689.
WWW Link. 1206
BibRef

Esposito, A.,
Beyond Range: Innovating Fluorescence Microscopy,
RS(4), No. 1, January 2012, pp. 111-119.
DOI Link 1203
BibRef

Temerinac-Ott, M., Ronneberger, O., Ochs, P., Driever, W., Brox, T., Burkhardt, H.,
Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy,
IP(21), No. 4, April 2012, pp. 1863-1873.
IEEE DOI 1204
BibRef

Yuan, L.[Liang], Zheng, Y.F., Zhu, J., Wang, L.[Lina], Brown, A.,
Object Tracking With Particle Filtering in Fluorescence Microscopy Images: Application to the Motion of Neurofilaments in Axons,
MedImg(31), No. 1, January 2012, pp. 117-130.
IEEE DOI 1201
BibRef

Maska, M., Danek, O., Garasa, S., Rouzaut, A., Munoz-Barrutia, A., Ortiz-de-Solorzano, C.,
Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model,
MedImg(32), No. 6, 2013, pp. 995-1006.
IEEE DOI 1307
biodiffusion; cancer; fluorescence; lung; Chan-Vese model; graph cut frameworks BibRef

Arslan, S., Ersahin, T., Cetin-Atalay, R., Gunduz-Demir, C.,
Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images,
MedImg(32), No. 6, 2013, pp. 1121-1131.
IEEE DOI 1307
fluorescence microscopy image; Attributed relational graph BibRef

Huang, C., Shih, P., Tsai, P., Lee, I., Hsu, H., Huang, H., Fan, S., Hsu, W.,
AMPFLUID: Aggregation Magnified Post-Assay Fluorescence for Ultrasensitive Immunodetection on Digital Microfluidics,
PIEEE(103), No. 2, February 2015, pp. 225-235.
IEEE DOI 1504
Charge coupled devices BibRef

Zhang, G.L.[Guang-Lei], Pu, H.[Huangsheng], He, W.[Wei], Liu, F.[Fei], Luo, J.W.[Jian-Wen], Bai, J.[Jing],
Bayesian Framework Based Direct Reconstruction of Fluorescence Parametric Images,
MedImg(34), No. 6, June 2015, pp. 1378-1391.
IEEE DOI 1506
Bayes methods BibRef

Tominaga, S.[Shoji], Hirai, K.[Keita], Horiuchi, T.[Takahiko],
Estimation of bispectral Donaldson matrices of fluorescent objects by using two illuminant projections,
JOSA-A(32), No. 6, June 2015, pp. 1068-1078.
DOI Link 1506
Imaging systems; Multispectral and hyperspectral imaging BibRef

Basset, A., Boulanger, J., Salamero, J., Bouthemy, P., Kervrann, C.,
Adaptive Spot Detection With Optimal Scale Selection in Fluorescence Microscopy Images,
IP(24), No. 11, November 2015, pp. 4512-4527.
IEEE DOI 1509
Computer architecture BibRef

Huelsnitz, T.[Thomas], Kner, P.[Peter],
Interferometric imaging with three objectives,
JOSA-A(33), No. 2, February 2016, pp. 179-191.
DOI Link 1602
Fluorescence microscopy BibRef

Zhu, B., Rasmussen, J.C., Litorja, M., Sevick-Muraca, E.M.,
Determining the Performance of Fluorescence Molecular Imaging Devices Using Traceable Working Standards With SI Units of Radiance,
MedImg(35), No. 3, March 2016, pp. 802-811.
IEEE DOI 1603
Cameras BibRef

Dimiccoli, M.[Mariella], Jacob, J.P.[Jean-Pascal], Moisan, L.[Lionel],
Particle detection and tracking in fluorescence time-lapse imaging: A contrario approach,
MVA(27), No. 4, May 2016, pp. 511-527.
WWW Link. 1605
BibRef

Amiot, C.[Carole], Girard, C., Chanussot, J.[Jocelyn], Pescatore, J., Desvignes, M.,
Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence,
MedImg(35), No. 6, June 2016, pp. 1565-1574.
IEEE DOI 1606
Biomedical imaging BibRef

Priego, B.[Blanca], Veganzones, M.A.[Miguel A.], Chanussot, J.[Jocelyn], Amiot, C.[Carole], Prieto, A.[Abraham], Duro, R.[Richard],
Spatio-temporal cellular automata-based filtering for image sequence denoising: Application to fluoroscopic sequences,
ICIP13(548-552)
IEEE DOI 1402
Automata BibRef

Negash, A.[Awoke], Labouesse, S.[Simon], Sandeau, N.[Nicolas], Allain, M.[Marc], Giovannini, H.[Hugues], Idier, J.[Jerome], Heintzmann, R.[Rainer], Chaumet, P.C.[Patrick C.], Belkebir, K.[Kamal], Sentenac, A.[Anne],
Improving the axial and lateral resolution of three-dimensional fluorescence microscopy using random speckle illuminations,
JOSA-A(33), No. 6, June 2016, pp. 1089-1094.
DOI Link 1606
Speckle imaging; Three-dimensional microscopy BibRef

Gorpas, D., Ma, D., Bec, J., Yankelevich, D.R., Marcu, L.,
Real-Time Visualization of Tissue Surface Biochemical Features Derived From Fluorescence Lifetime Measurements,
MedImg(35), No. 8, August 2016, pp. 1802-1811.
IEEE DOI 1608
Fluorescence BibRef

Small, A.[Alex],
Multifluorophore localization as a percolation problem: limits to density and precision,
JOSA-A(33), No. 7, July 2016, pp. B21-B30.
DOI Link 1608
Probability theory, stochastic processes, and statistics BibRef

Chakrova, N.[Nadya], Rieger, B.[Bernd], Stallinga, S.[Sjoerd],
Deconvolution methods for structured illumination microscopy,
JOSA-A(33), No. 7, July 2016, pp. B12-B20.
DOI Link 1608
Deconvolution; Inverse problems; Fluorescence microscopy BibRef

Zhang, Y.[Yide], Khan, A.A.[Aamir A.], Vigil, G.D.[Genevieve D.], Howard, S.S.[Scott S.],
Investigation of signal-to-noise ratio in frequency-domain multiphoton fluorescence lifetime imaging microscopy,
JOSA-A(33), No. 7, July 2016, pp. B1-B11.
DOI Link 1608
Fluorescence microscopy BibRef

Svoboda, D.[David], Ulman, V.[Vladimír],
MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy,
MedImg(36), No. 1, January 2017, pp. 310-321.
IEEE DOI 1701
BibRef
Earlier:
Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy,
ICIAR12(II: 473-482).
Springer DOI 1206
Algorithm design and analysis BibRef

Ulman, V.[Vladimír], Orémuš, Z.[Zoltán], Svoboda, D.[David],
TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells,
CIAP15(I:623-634).
Springer DOI 1511
BibRef

An, Y., Liu, J., Zhang, G., Jiang, S., Ye, J., Chi, C., Tian, J.,
Compactly Supported Radial Basis Function-Based Meshless Method for Photon Propagation Model of Fluorescence Molecular Tomography,
MedImg(36), No. 2, February 2017, pp. 366-373.
IEEE DOI 1702
Finite element analysis BibRef

Labouesse, S., Negash, A., Idier, J., Bourguignon, S., Mangeat, T., Liu, P., Sentenac, A., Allain, M.,
Joint Reconstruction Strategy for Structured Illumination Microscopy With Unknown Illuminations,
IP(26), No. 5, May 2017, pp. 2480-2493.
IEEE DOI 1704
BibRef
Earlier: A1, A8, A3, A4, A2, A6, A7, Only:
Fluorescence blind structured illumination microscopy: A new reconstruction strategy,
ICIP16(3166-3170)
IEEE DOI 1610
Image reconstruction BibRef

Li, J.Z.[Ji-Zhou], Xue, F.[Feng], Blu, T.[Thierry],
Fast and accurate three-dimensional point spread function computation for fluorescence microscopy,
JOSA-A(34), No. 6, June 2017, pp. 1029-1034.
DOI Link 1706
Fluorescence microscopy, Three-dimensional, microscopy BibRef

Storath, M., Rickert, D., Unser, M., Weinmann, A.,
Fast Segmentation From Blurred Data in 3D Fluorescence Microscopy,
IP(26), No. 10, October 2017, pp. 4856-4870.
IEEE DOI 1708
deconvolution, fluorescence, graphics processing units, image restoration, image segmentation, optical microscopy, parallel processing, 3D Potts model, 3D image segmentation, 3D wide field fluorescence microscopy data, data blurring, decoupled subproblem, noncubic grid, piecewise constant Mumford-Shah model, sequential CPU version, space discretization, splitting approach, BibRef

Storath, M., Weinmann, A.,
Fast Median Filtering for Phase or Orientation Data,
PAMI(40), No. 3, March 2018, pp. 639-652.
IEEE DOI 1802
Complexity theory, Image edge detection, MATLAB, Optical interferometry, Robustness, Runtime, Smoothing methods, phase data BibRef

Wang, S., Arena, E.T., Eliceiri, K.W., Yuan, M.,
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach,
IP(27), No. 2, February 2018, pp. 622-636.
IEEE DOI 1712
Biology, Correlation, Measurement, Microscopy, Robustness, Statistical analysis, Testing, colocalization, scan statistics BibRef

Wang, S., Arena, E.T., Becker, J.T., Bement, W.M., Sherer, N.M., Eliceiri, K.W., Yuan, M.,
Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy,
IP(28), No. 9, Sep. 2019, pp. 4471-4485.
IEEE DOI 1908
Microscopy, Indexes, Testing, Proteins, Kernel, Fluorescence, Colocalization, fluorescence microscopy, hypothesis testing, kernel method BibRef

Grushnikov, A.[Andrey], Niwayama, R.[Ritsuya], Kanade, T.[Takeo], Yagi, Y.S.[Yasu-Shi],
3D level set method for blastomere segmentation of preimplantation embryos in fluorescence microscopy images,
MVA(29), No. 1, January 2018, pp. 125-134.
WWW Link. 1801
BibRef

Fortun, D., Guichard, P., Hamel, V., Sorzano, C.O.S., Banterle, N., Gönczy, P., Unser, M.,
Reconstruction From Multiple Particles for 3D Isotropic Resolution in Fluorescence Microscopy,
MedImg(37), No. 5, May 2018, pp. 1235-1246.
IEEE DOI 1805
Estimation, Image reconstruction, Image resolution, Microscopy, Proteins, Protein localization, pose estimation BibRef

Vivona, L.[Letizia], Cascio, D.[Donato], Taormina, V.[Vincenzo], Raso, G.[Giuseppe],
Automated approach for indirect immunofluorescence images classification based on unsupervised clustering method,
IET-CV(12), No. 7, October 2018, pp. 989-995.
DOI Link 1809
BibRef

Samuylov, D.K., Székely, G., Paul, G.,
A Bayesian Framework for the Analog Reconstruction of Kymographs From Fluorescence Microscopy Data,
IP(28), No. 1, January 2019, pp. 410-425.
IEEE DOI 1810
Geometry, Image reconstruction, Photometry, Microscopy, Image resolution, Inverse problems, Analog reconstruction, virtual microscope BibRef

Ahmed, M.F., Yasar, S., Cho, S.H.,
A Monte Carlo Model of a Benchtop X-Ray Fluorescence Computed Tomography System and Its Application to Validate a Deconvolution-Based X-Ray Fluorescence Signal Extraction Method,
MedImg(37), No. 11, November 2018, pp. 2483-2492.
IEEE DOI 1811
Detectors, Photonics, X-ray imaging, Economic indicators, II-VI semiconductor materials, Cadmium compounds, Collimators, X-ray detector response BibRef

Samuylov, D.K., Purwar, P., Székely, G., Paul, G.,
Modeling Point Spread Function in Fluorescence Microscopy With a Sparse Gaussian Mixture: Tradeoff Between Accuracy and Efficiency,
IP(28), No. 8, August 2019, pp. 3688-3702.
IEEE DOI 1907
calibration, fluorescence, Gaussian processes, image reconstruction, image resolution, image restoration, virtual microscope framework BibRef

Bentz, B.Z., Lin, D., Patel, J.A., Webb, K.J.,
Multiresolution Localization With Temporal Scanning for Super-Resolution Diffuse Optical Imaging of Fluorescence,
IP(29), No. 1, 2020, pp. 830-842.
IEEE DOI 1910
Optical imaging, Spatial resolution, Neurons, Optical scattering, Mathematical model, Super-resolution, optical imaging, matching pursuit BibRef

Tominaga, S.[Shoji], Hirai, K.[Keita], Horiuchi, T.[Takahiko],
Spectral reconstruction of fluorescent objects with mutual illumination effects,
JOSA-A(36), No. 9, September 2019, pp. 1512-1522.
DOI Link 1912
Fluorescent markers, Fluorescent materials, Light intensity, Liquid crystal filters, Reconstruction algorithms, Spectral imaging BibRef

Chandler, T.[Talon], Shroff, H.[Hari], Oldenbourg, R.[Rudolf], La Riviere, P.[Patrick],
Spatio-angular fluorescence microscopy I. Basic theory,
JOSA-A(36), No. 8, August 2019, pp. 1334-1345.
DOI Link 1912
Electric fields, Image processing, Imaging systems, Imaging techniques, Optical transfer functions, Point spread function BibRef

Chandler, T.[Talon], Shroff, H.[Hari], Oldenbourg, R.[Rudolf], La Riviere, P.[Patrick],
Spatio-angular fluorescence microscopy II. Paraxial 4f imaging,
JOSA-A(36), No. 8, August 2019, pp. 1346-1360.
DOI Link 1912
Electric fields, Fourier transforms, Imaging systems, Point spread function, Pupil, Spatial frequency BibRef

Yi, H.[Huangjian], Jiao, P.[Pu], Li, X.N.[Xiao-Nan], Peng, J.Y.[Jin-Ye], He, X.W.[Xiao-Wei],
Three-way decision based reconstruction frame for fluorescence molecular tomography,
JOSA-A(35), No. 11, November 2018, pp. 1814-1822.
DOI Link 1912
Anisotropic diffusion, Finite element method, Image quality, Imaging systems, Inverse problems, Numerical simulation BibRef

Field, J.J.[Jeffrey J.], Wernsing, K.A.[Keith A.], Squier, J.A.[Jeff A.], Bartels, R.A.[Randy A.],
Three-dimensional single-pixel imaging of incoherent light with spatiotemporally modulated illumination,
JOSA-A(35), No. 8, August 2018, pp. 1438-1449.
DOI Link 1912
Aberration compensation, Microscopy, Image formation theory, Fluorescence microscopy, Interference microscopy, Wave propagation BibRef

Jung, S., Kim, T., Lee, W., Kim, H., Kim, H.S., Im, H., Ye, S.,
Dynamic In Vivo X-ray Fluorescence Imaging of Gold in Living Mice Exposed to Gold Nanoparticles,
MedImg(39), No. 2, February 2020, pp. 526-533.
IEEE DOI 2002
Cameras, Economic indicators, Photonics, Collimators, X-ray imaging, In vivo, X-ray fluorescence, pinhole, gold nanoparticles, in vivo, molecular imaging BibRef

Zhu, B., Kwon, S., Rasmussen, J.C., Litorja, M., Sevick-Muraca, E.M.,
Comparison of NIR Versus SWIR Fluorescence Image Device Performance Using Working Standards Calibrated With SI Units,
MedImg(39), No. 4, April 2020, pp. 944-951.
IEEE DOI 2004
Molecular and cellular imaging, optical imaging/OCT/DOT, evaluation and performance, system design, validation BibRef

Chow, J.C.K., Boyd, S.K., Lichti, D.D., Ronsky, J.L.,
Robust Self-Supervised Learning of Deterministic Errors in Single-Plane (Monoplanar) and Dual-Plane (Biplanar) X-Ray Fluoroscopy,
MedImg(39), No. 6, June 2020, pp. 2051-2060.
IEEE DOI 2006
Calibration, photogrammetry, X-ray, fluoroscopy BibRef

Bentz, B.Z., Mahalingam, S.M., Ysselstein, D., Montenegro, P.C., Cannon, J.R., Rochet, J., Low, P.S., Webb, K.J.,
Localization of Fluorescent Targets in Deep Tissue With Expanded Beam Illumination for Studies of Cancer and the Brain,
MedImg(39), No. 7, July 2020, pp. 2472-2481.
IEEE DOI 2007
Mathematical model, Radio frequency, Nonhomogeneous media, Imaging, Detectors, Brain modeling, Tumors, Fluorescence imaging, inverse problems BibRef

Mukherjee, S., Gonzalez-Gomez, C., Danglot, L., Lagache, T., Olivo-Marin, J.,
Generalizing the Statistical Analysis of Objects' Spatial Coupling in Bioimaging,
SPLetters(27), 2020, pp. 1085-1089.
IEEE DOI 2007
Spatial statistics, colocalization, Ripley's K-function, coupling, fluorescence microscopy, level sets BibRef

Dai, Q.Q.[Qi-Qin], Chopp, H., Pouyet, E.[Emeline], Cossairt, O.[Oliver], Walton, M.[Marc], Katsaggelos, A.K.[Aggelos K.],
Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction,
MultMed(22), No. 10, October 2020, pp. 2564-2578.
IEEE DOI 2009
Image reconstruction, Image sampling, Imaging, X-ray imaging, Machine learning, Spatial resolution, Adaptive sampling, inpainting BibRef

Dai, Q.Q.[Qi-Qin], Pouyet, E.[Emeline], Cossairt, O.[Oliver], Walton, M.[Marc], Casadio, F.[Francesca], Katsaggelos, A.K.[Aggelos K.],
X-Ray fluorescence image super-resolution using dictionary learning,
IVMSP16(1-5)
IEEE DOI 1608
Dictionaries BibRef

Meng, H., Gao, Y., Yang, X., Wang, K., Tian, J.,
K-Nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography,
MedImg(39), No. 10, October 2020, pp. 3019-3028.
IEEE DOI 2010
Image reconstruction, Photonics, Fluorescence, Inverse problems, Surface reconstruction, In vivo, Surface morphology, brain BibRef

Kim, D.S.[Dong Sik], Lee, E.[Eunae],
Measurement of the Lag Correction Factor in Low-Dose Fluoroscopic Imaging,
MedImg(40), No. 6, June 2021, pp. 1661-1672.
IEEE DOI 2106
Detectors, X-rays, Logic gates, Heuristic algorithms, Thin film transistors, Electron tubes, Imaging, Exposure leak, lag correction factor BibRef

Andrle, A.[Anna], Farchmin, N.[Nando], Hagemann, P.[Paul], Heidenreich, S.[Sebastian], Soltwisch, V.[Victor], Steidl, G.[Gabriele],
Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-ray Fluorescence,
SSVM21(528-539).
Springer DOI 2106
BibRef

Kromp, F.[Florian], Fischer, L.[Lukas], Bozsaky, E.[Eva], Ambros, I.M.[Inge M.], Dörr, W.[Wolfgang], Beiske, K.[Klaus], Ambros, P.F.[Peter F.], Hanbury, A.[Allan], Taschner-Mandl, S.[Sabine],
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation,
MedImg(40), No. 7, July 2021, pp. 1934-1949.
IEEE DOI 2107
Image segmentation, Computer architecture, Deep learning, Microscopy, Microprocessors, Training, Task analysis, nuclear image segmentation BibRef

Li, R.Q.[Rui-Qi], Xie, X.L.[Xiao-Liang], Zhou, X.H.[Xiao-Hu], Liu, S.Q.[Shi-Qi], Ni, Z.L.[Zhen-Liang], Zhou, Y.J.[Yan-Jie], Bian, G.B.[Gui-Bin], Hou, Z.G.[Zeng-Guang],
Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images,
MedImg(40), No. 8, August 2021, pp. 2002-2014.
IEEE DOI 2108
Location awareness, Surgery, Instruments, Task analysis, Detectors, Real-time systems, Retina, Guidewire endpoint, surgical instrument BibRef

Lee, J.B.[Jung-Bin], Kim, S.H.[Seong-Han], Kim, J.[Jeongho], Son, B.J.[Byeong Jae], Yoon, C.H.[Chang Ho], Kim, H.K.[Hong Kyun], Kim, K.H.[Ki Hean],
Moxifloxacin-Based Extended Depth-of-Field Fluorescence Microscopy for Real-Time Conjunctival Goblet Cell Examination,
MedImg(41), No. 8, August 2022, pp. 2004-2008.
IEEE DOI 2208
Imaging, Microscopy, Lenses, Mice, Mirrors, Fluorescence, Standards, Extended depth-of-field, fluorescence microscopy, ocular surface diseases BibRef

Berker, Y.[Yannick], ElHarouni, D.[Dina], Peterziel, H.[Heike], Fiesel, P.[Petra], Witt, O.[Olaf], Oehme, I.[Ina], Schlesner, M.[Matthias], Oppermann, S.[Sina],
Patient-by-Patient Deep Transfer Learning for Drug-Response Profiling Using Confocal Fluorescence Microscopy of Pediatric Patient-Derived Tumor-Cell Spheroids,
MedImg(41), No. 12, December 2022, pp. 3981-3999.
IEEE DOI 2212
Drugs, Cancer, Image segmentation, Computer architecture, Microprocessors, Tumors, Molecular and cellular imaging, translation BibRef

Wu, C.P.[Chuan-Peng], Li, L.[Liang],
First Demonstration of Compton Camera Used for X-Ray Fluorescence Imaging,
MedImg(42), No. 5, May 2023, pp. 1314-1324.
IEEE DOI 2305
Photonics, Cameras, Imaging, X-ray imaging, Scattering, Detectors, Image reconstruction, Compton camera, X-ray fluorescence (XRF), Timepix3 detector BibRef

Chen, G.[Ge], Wang, J.J.[Jian-Jun], Wang, H.L.[Hai-Lin], Wen, J.M.[Jin-Ming], Gao, Y.[Yi], Xu, Y.J.[Yong-Jian],
Fluorescence Microscopy Images Denoising Via Deep Convolutional Sparse Coding,
SP:IC(117), 2023, pp. 117003.
Elsevier DOI 2308
Deep convolutional neural network, Fluorescence microscopy images denoising, Deep learning BibRef

Wu, Y.S.[Yan-Song], Chen, Z.H.[Zi-Hao], Guo, H.B.[Hong-Bo], Li, J.T.[Jin-Tao], Yi, H.J.[Huang-Jian], Yu, J.J.[Jing-Jing], He, X.L.[Xue-Lei], He, X.W.[Xiao-Wei],
Fluorescence separation based on the spatiotemporal Gaussian mixture model for dynamic fluorescence molecular tomography,
JOSA-A(41), No. 10, October 2024, pp. 1846-1855.
DOI Link 2503
Biomedical imaging, Imaging systems, Imaging techniques, Numerical simulation, Optical imaging, Three dimensional reconstruction BibRef

Zou, W.[Wei], Wang, J.J.[Jia-Jun], Hu, D.F.[Dan-Feng], Pan, X.Y.[Xin-Yu],
Bayesian reconstruction of fluorescent molecular tomography via iteration of measurements,
JOSA-A(38), No. 2, February 2021, pp. 174-180.
DOI Link 2503
Absorption coefficient, Biomedical imaging, Image reconstruction, Imaging techniques, Inverse design, Light propagation BibRef

Li, Z.L.[Ze-Lin], Huang, Z.[Zhaoke], Zhu, Z.[Zhen], You, S.C.[Si-Cheng], Zhao, Z.Y.[Zhong-Ying], Yan, H.[Hong],
Directional and Topological Transformer with Topology Priors for 4D Cellular Image Segmentation,
ICIP24(2902-2908)
IEEE DOI 2411
Image segmentation, Embryo, Shape, Manuals, Fluorescence, Transformers, cell segmentation, 4D image, transformer, fluorescence imaging BibRef

Ashesh, Krull, A.[Alexander], di Sante, M.[Moises], Pasqualini, F.S.[Francesco Silvio], Jug, F.[Florian],
mu-Split: image decomposition for fluorescence microscopy,
ICCV23(21162-21172)
IEEE DOI Code:
WWW Link. 2401
BibRef

Stergiopoulou, V.[Vasiliki], Mukherjee, S.[Subhadip], Calatroni, L.[Luca], Blanc-Féraud, L.[Laure],
Fluctuation-based Deconvolution in Fluorescence Microscopy Using Plug-and-play Denoisers,
SSVM23(498-510).
Springer DOI 2307
BibRef

Huang, L.J.[Luo-Jie], Liu, Y.K.[Yi-Kang], Chen, L.[Li], Chen, E.Z.[Eric Z.], Chen, X.[Xiao], Sun, S.[Shanhui],
Robust Landmark-Based Stent Tracking in X-ray Fluoroscopy,
ECCV22(XXII:201-216).
Springer DOI 2211
BibRef

Ahmad, A.[Ali], Frindel, C.[Carole], Rousseau, D.[David],
Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images,
IPTA20(1-6)
IEEE DOI 2206
Microscopy, Organizations, Fluorescence, Task analysis, Lenses, Confocal microscopy, fluorescent markers organization, texture, point spread function BibRef

Cooke, C.L.[Colin L.], Kong, F.[Fanjie], Chaware, A.[Amey], Zhou, K.C.[Kevin C.], Kim, K.[Kanghyun], Xu, R.[Rong], Ando, D.M.[D. Michael], Yang, S.J.[Samuel J.], Konda, P.C.[Pavan Chandra], Horstmeyer, R.[Roarke],
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy,
ICCV21(3783-3793)
IEEE DOI 2203
Training, Optical microscopy, Microscopy, Lighting, Fluorescence, Optical fiber networks, Optical imaging, Medical, biological, Vision applications and systems BibRef

Maksoud, S., Zhao, K., Hobson, P., Jennings, A., Lovell, B.C.,
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification,
CVPR20(3861-3870)
IEEE DOI 2008
Feature extraction, Spatial resolution, Switches, Task analysis, Training, Protocols BibRef

Sekh, A.A., Opstad, I.S.[I. Sundvor], Birgisdottir, Å.B., Myrmel, T., Ahluwalia, B.S., Agarwal, K., Prasad, D.K.,
Learning Nanoscale Motion Patterns of Vesicles in Living Cells,
CVPR20(14011-14020)
IEEE DOI 2008
Microscopy, Nanoscale devices, Nanobioscience, Videos, Fluorescence, Tracking, Optical microscopy BibRef

Zhang, Y.[Yide], Zhu, Y.[Yinhao], Nichols, E.[Evan], Wang, Q.[Qingfei], Zhang, S.Y.[Si-Yuan], Smith, C.[Cody], Howard, S.[Scott],
A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images,
CVPR19(11702-11710).
IEEE DOI 2002
BibRef

Koyamatsu, K.[Koji], Hidaka, D.[Daichi], Okabe, T.[Takahiro], Lensch, H.P.A.[Hendrik P. A.],
Reflective and Fluorescent Separation Under Narrow-Band Illumination,
CVPR19(7569-7577).
IEEE DOI 2002
BibRef

Li, D., Barbu, A.,
Training a CNN for Guidewire Detection,
ICIP19(2214-2218)
IEEE DOI 1910
guidewire detection, fluoroscopy, convo-lutional neural networks, spherical quadrature filters BibRef

Sluzewski, M.F.[M. Filip], Tvrdik, P.[Petr], Acton, S.T.[Scott T.],
Segmentation of Cortical Spreading Depression Wavefronts Through Local Similarity Metric,
ICIP19(1485-1489)
IEEE DOI 1910
Biomedical Image Analysis, Image and Video Segmentation, Microscopy, Neuroimaging BibRef

Maška, M., Necasová, T., Wiesner, D., Sorokin, D.V., Peterlík, I., Ulman, V., Svoboda, D.,
Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy,
ICIP19(819-823)
IEEE DOI 1910
Benchmark dataset, synthetic image data, filopodium segmentation, filopodium tracking BibRef

Shao, H., Wang, Y., Chen, Y.,
A Two-Phase Segmentation Method for Drosophila Olfactory Glomeruli,
ICIP19(265-269)
IEEE DOI 1910
olfactory glomerulus, confocal fluorescence image, pseudo-background, segmentation. BibRef

Abreu, A., Frenoist, F.X., Valitutti, S., Brousset, P., Denèfle, P., Naegel, B., Wemmert, C.,
Model-based graph segmentation in 2-D fluorescence microsecopy images,
ICPR18(3844-3849)
IEEE DOI 1812
Image segmentation, Vegetation, Clustering algorithms, Task analysis, Image edge detection, Microscopy, Forestry BibRef

Abousamra, S., Adar, S., Elia, N., Shilkrot, R.,
Localization and Tracking in 4D Fluorescence Microscopy Imagery,
Microscopy18(2371-23718)
IEEE DOI 1812
Microscopy, Bridges, Task analysis, Embryo, Image segmentation BibRef

Asano, Y.[Yuta], Meguro, M.[Misaki], Wang, C.[Chao], Lam, A.[Antony], Zheng, Y.Q.[Yin-Qiang], Okabe, T.[Takahiro], Sato, I.[Imari],
Coded Illumination and Imaging for Fluorescence Based Classification,
ECCV18(VIII: 511-526).
Springer DOI 1810
BibRef

On, V., Zahedi, A., Bhanu, B.,
3D Reconstruction of Phase Contrast Images Using Focus Measures,
ICIP18(101-105)
IEEE DOI 1809
Fluorescence, Microscopy, Regression tree analysis, Lung, Image segmentation, Regression BibRef

Levine, J., Grangetto, M., Varrecchia, M., Olmo, G.,
Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images,
ICIP18(361-365)
IEEE DOI 1809
Microscopy, Standards, Image segmentation, Signal to noise ratio, Heuristic algorithms, Fluorescence, Drugs, microtubules BibRef

Nourbakhsh, F., Abdeladim, L., Clavreul, S., Loulier, K., Beaurepaire, E., Livet, J., Chessel, A.,
Neural Cell Segmentation in Large-Scale 3D Color Fluorescence Microscopy Images for Developemental Neuroscience,
ICIP18(3828-3832)
IEEE DOI 1809
Image segmentation, Neurons, Computer architecture, Microscopy, Microprocessors, segmentation BibRef

Feng, Y., Chai, X., Ba, Q., Yang, G.,
Quality Assessment of Synthetic Fluorescence Microscopy Images for Image Segmentation,
ICIP19(814-818)
IEEE DOI 1910
Quality assessment, synthetic image, fluorescence microscopy, generative adversarial network, image segmentation BibRef

Chai, X., Ba, Q., Yang, G.,
Characterizing Robustness and Sensitivity of Convolutional Neural Networks in Segmentation of Fluorescence Microscopy Images,
ICIP18(3838-3842)
IEEE DOI 1809
Image segmentation, Robustness, Sensitivity, Microscopy, Active appearance model, Biology, Training, Segmentation, mitochondria BibRef

Wu, L.M.[Li-Ming], Han, S.[Shuo], Chen, A.[Alain], Salama, P.[Paul], Dunn, K.W.[Kenneth W.], Delp, E.J.[Edward J.],
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images,
CVMI21(3750-3760)
IEEE DOI 2109
Location awareness, Training, Solid modeling, Image segmentation, Microscopy, Object detection BibRef

Fu, C., Lee, S., Ho, D.J., Han, S.[Shuo], Salama, P.[Paul], Dunn, K.W.[Kenneth W.], Delp, E.J.[Edward J.],
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation,
Microscopy18(2302-23028)
IEEE DOI 1812
Image segmentation, Microscopy, Solid modeling, Mathematical model BibRef

Ho, D.J., Fu, C., Salama, P.[Paul], Dunn, K.W.[Kenneth W.], Delp, E.J.[Edward J.],
Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks,
Microscopy17(834-842)
IEEE DOI 1709
Electron microscopy, Fluorescence, Image segmentation, Training, Two, dimensional, displays BibRef

Lorenz, K.S.[Kevin S.], Salama, P.[Paul], Dunn, K.W.[Kenneth W.], Delp, E.J.[Edward J.],
Three dimensional segmentation of fluorescence microscopy images using active surfaces,
ICIP13(1153-1157)
IEEE DOI 1402
Active contours BibRef

Osokin, A.[Anton], Chessel, A.[Anatole], Carazo Salas, R.E.[Rafael E.], Vaggi, F.[Federico],
GANs for Biological Image Synthesis,
ICCV17(2252-2261)
IEEE DOI 1802
Generative Adversarial Networks. Synthesis of these images. biomedical optical imaging, cellular biophysics, medical image processing, optical microscopy, proteins, GAN, BibRef

Aydin, A.S., Dubey, A., Dovrat, D., Aharoni, A., Shilkrot, R.,
CNN Based Yeast Cell Segmentation in Multi-modal Fluorescent Microscopy Data,
Microscopy17(753-759)
IEEE DOI 1709
Computer architecture, DNA, Image segmentation, Lighting, Microprocessors, Microscopy BibRef

Gupta, A.[Anindya], Suveer, A.[Amit], Lindblad, J.[Joakim], Dragomir, A.[Anca], Sintorn, I.M.[Ida-Maria], Sladoje, N.[Nataša],
Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images,
SCIA17(I: 407-418).
Springer DOI 1706
BibRef

Kondratev, A.Y.[Alexandr Y.], Sorokin, D.V.[Dmitry V.],
Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints,
ICPR16(331-336)
IEEE DOI 1705
Active contours, Algorithm design and analysis, Bleaching, Feature extraction, Image registration, Image sequences, Microscopy BibRef

Holden, M.[Mark],
Intramolecular FRET Efficiency Measures for Time-Lapse Fluorescence Microscopy Images,
ACIVS16(105-116).
Springer DOI 1611
BibRef

Smal, I.[Ihor], Meijering, E.[Erik],
Poisson Point Processes for Solving Stochastic Inverse Problems in Fluorescence Microscopy,
BioImage16(I: 326-338).
Springer DOI 1611
BibRef

Puybareau, E., Talbot, H., Bequignon, E., Louis, B., Pelle, G., Papon, J.F., Coste, A., Najman, L.,
Automating the measurement of physiological parameters: A case study in the image analysis of cilia motion,
ICIP16(1240-1244)
IEEE DOI 1610
Biomedical measurement BibRef

Yu, Y., Wang, J., Acton, S.T.,
Automatic detection of direct radiation for digital fluoroscopy optimization,
ICIP16(3379-3383)
IEEE DOI 1610
Feature extraction BibRef

Ohara, N., Zheng, Y., Sato, I., Nakamura, T., Yamaguchi, M.,
Simultaneous linear separation and unmixing of fluorescent and reflective components from a single hyperspectral image,
ICIP16(4344-4348)
IEEE DOI 1610
Decision support systems BibRef

Craciun, P., Zerubia, J.B.[Josiane B.],
Stochastic geometry for multiple object tracking in fluorescence microscopy,
ICIP16(444-448)
IEEE DOI 1610
Biological system modeling BibRef

Al-Durgham, K.[Kaleel], Lichti, D.D.[Derek D.], Kuntze, G.[Gregor], Sharma, G.[Gulshan], Ronsky, J.[Janet],
Toward an Automatic Calibration of Dual Fluoroscopy Imaging Systems,
ISPRS16(B5: 757-764).
DOI Link 1610
BibRef

Koos, K., Molnar, J., Horvath, P.,
DIC Microscopy Image Reconstruction Using a Novel Variational Framework,
DICTA15(1-7)
IEEE DOI 1603
image reconstruction BibRef

Samak, A., Wiliem, A., Hobson, P., Walsh, M., Ditchmen, T., Troskie, A., Barksdale, S., Edwards, R., Jennings, A., Lovell, B.C.,
An Optimization Approach to Scanning Skin Direct Immunofluorescence Specimens,
DICTA15(1-8)
IEEE DOI 1603
fluorescence BibRef

Gharipour, A., Liew, A.W.C.,
A Multi-Kernel Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images,
DICTA15(1-5)
IEEE DOI 1603
BibRef
And:
Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering,
DICTA15(1-5)
IEEE DOI 1603
fluorescence biology computing BibRef

Aichert, A.[André], Wang, J.[Jian], Schaffert, R.[Roman], Dörfler, A.[Arnd], Hornegger, J.[Joachim], Maier, A.[Andreas],
Epipolar Consistency in Fluoroscopy for Image-Based Tracking,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Amiot, C., Girard, C., Pescatore, J., Chanussot, J., Desvignes, M.,
Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering,
ICIP15(691-695)
IEEE DOI 1512
Fluoroscopic sequences BibRef

Zhang, F.[Fan], Cai, W.D.[Wei-Dong], Song, Y.[Yang], Young, P.[Paul], Traini, D.[Daniela], Morgan, L.[Lucy], Ong, H.X.[Hui-Xin], Buddle, L.[Lachlan], Feng, D.D.[David Dagan],
Beating cilia identification in fluorescence microscope images for accurate CBF measurement,
ICIP15(4496-4500)
IEEE DOI 1512
Beating cilia BibRef

Shi, C.Y.[Chen-Yu], Guo, J.[Jiapan], Azzopardi, G.[George], Meijer, J.M.[Joost M.], Jonkman, M.F.[Marcel F.], Petkov, N.[Nicolai],
Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images,
CAIP15(I:513-521).
Springer DOI 1511
BibRef

Jensen, C.B.[Casper Bo], Secher, A.[Anna], Hecksher-Sørensen, J.[Jacob], Conradsen, K.[Knut], Larsen, R.[Rasmus],
Quantification of Brain Access of Exendin-4 in the C57BL Mouse Model by SPIM Fluorescence Imaging and the Allen Mouse Brain Reference Model,
SCIA15(452-461).
Springer DOI 1506
BibRef

Erdil, E., Yagci, A.M., Argunsah, A.O., Ramiro-Cortes, Y., Hobbiss, A.F., Israely, I., Unay, D.,
A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation,
IPTA12(167-171)
IEEE DOI 1503
two-photon fluorescence microscopy images. BibRef

Majtner, T.[Tomas], Svoboda, D.[David],
Texture analysis using 3D Gabor features and 3D MPEG-7 Edge Histogram descriptor in fluorescence microscopy,
IC3D14(1-7)
IEEE DOI 1503
Histograms BibRef

Majtner, T.[Toma], Stoklasa, R.[Roman], Svoboda, D.[David],
RSURF: The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells,
ICPR14(1194-1199)
IEEE DOI 1412
Accuracy BibRef

Tominaga, S.[Shoji], Hirai, K.[Keita], Horiuchi, T.[Takahiko],
Measurement and Modeling of Bidirectional Characteristics of Fluorescent Objects,
ICISP14(35-42).
Springer DOI 1406
BibRef

Keuper, M.[Margret], Schmidt, T.[Thorsten], Temerinac-Ott, M.[Maja], Padeken, J.[Jan], Heun, P.[Patrick], Ronneberger, O.[Olaf], Brox, T.[Thomas],
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF),
CVPR13(2179-2186)
IEEE DOI 1309
OTF regularization; blind deconvolution; widefield microscopy BibRef

Lam, A.[Antony], Sato, I.[Imari],
Spectral Modeling and Relighting of Reflective-Fluorescent Scenes,
CVPR13(1452-1459)
IEEE DOI 1309
fluorescence; hyperspectral imaging; relighting BibRef

Neves, J.C.[João C.], Castro, H.[Helena], Proença, H.[Hugo], Coimbra, M.[Miguel],
Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images,
ICIAR13(613-620).
Springer DOI 1307
BibRef

Yang, H.F.[Huei-Fang], Descombes, X.[Xavier], Kervrann, C.[Charles], Medioni, C.[Caroline], Besse, F.[Florence],
Tracking Growing Axons by Particle Filtering in 3D + t Fluorescent Two-Photon Microscopy Images,
ACCV12(III:272-283).
Springer DOI 1304
BibRef

Roudot, P.[Philippe], Kervrann, C.[Charles], Waharte, F.[Francois], Boulanger, J.[Jerome],
Lifetime map reconstruction in frequency-domain fluorescence lifetime imaging microscopy,
ICIP12(2537-2540).
IEEE DOI 1302
BibRef

Majtner, T.[Tomáš], Svoboda, D.[David],
Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy,
IWCIA14(186-195).
Springer DOI 1405
BibRef
Earlier:
Extension of Tamura Texture Features for 3D Fluorescence Microscopy,
3DIMPVT12(301-307).
IEEE DOI 1212
BibRef

Zhang, D., Muller, J.p., Lavender, S., Walton, D., Dartnell, L.R.,
Fluorescent Analysis of Photosynthetic Microbes and Polycyclic Aromatic Hydrocarbons Linked To Optical Remote Sensing,
ISPRS12(XXXIX-B8:555-559).
DOI Link 1209
BibRef

Jimenez, M.J., Rucco, M., Vicente-Munuera, P., Gómez-Gálvez, P., Escudero, L.M.[Luis M.],
Topological Data Analysis for Self-organization of Biological Tissues,
IWCIA17(229-242).
Springer DOI 1706
BibRef

Sáez, A.[Aurora], Montero-Sánchez, A.[Adoración], Escudero, L.M.[Luis M.], Acha, B.[Begoña], Serrano, C.[Carmen],
Segmentation of Muscle Fibres in Fluorescence Microscopy Images,
ICIAR12(II: 465-472).
Springer DOI 1206
BibRef

Liang, L.[Liang], Xu, Y.K.[Ying-Ke], Shen, H.Y.[Hong-Ying], de Camilli, P.[Pietro], Toomre, D.K.[Derek K.], Duncan, J.S.[James S.],
Automatic detection of subcellular particles in fluorescence microscopy via feature clustering and bayesian analysis,
MMBIA12(161-166).
IEEE DOI 1203
BibRef

Held, C.[Christian], Wenzel, J.[Jens], Lang, R.[Roland], Palmisano, R.[Ralf], Wittenberg, T.[Thomas],
Comparison of Methods for Splitting of Touching and Overlapping Macrophages in Fluorescent Micrographs,
ICIAR12(II: 456-464).
Springer DOI 1206
BibRef

Hiware, S.[Sameer], Porwal, P.[Pradyot], Velmurugan, R.[Rajbabu], Chaudhuri, S.[Subhasis],
Modeling of PSF for refractive index variation in fluorescence microscopy,
ICIP11(2037-2040).
IEEE DOI 1201
BibRef

Xiong, W.[Wei], Chia, S.C.[Shue-Ching], Lim, J.H.[Joo Hwee],
Automated nuclei clump decomposition for image analysis in neuronal cell fluorescent microscopy,
ICIP11(1577-1580).
IEEE DOI 1201
BibRef

Matuszewski, B.J., Murphy, M.F., Burton, D.R., Marchant, T.E., Moore, C.J., Histace, A., Precioso, F.,
Segmentation of cellular structures in actin tagged fluorescence confocal microscopy images,
ICIP11(3081-3084).
IEEE DOI 1201
BibRef

Marchant, T.E.[Tom E.], Madden, M.F.M.<.[Mark F. Murphy/A1>, Greg], Moore, C.J.[Christopher J.],
Quantifying structure regularity in fluorescence microscopy cell images using a novel multi-dimensional approximate entropy metric,
ICIP11(3085-3088).
IEEE DOI 1201
BibRef

Chalfoun, J.[Joe], Dima, A.A.[Alden A.], Peskin, A.P.[Adele P.], Elliott, J.T.[John T.], Filliben, J.J.[James J.],
A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images,
ISVC10(I: 23-34).
Springer DOI 1011
BibRef

Lu, Y.T.[Yan-Ting], Lu, J.F.[Jian-Feng], Liu, T.M.[Tian-Ming], Yang, J.Y.[Jing-Yu],
Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images,
ICPR10(2584-2587).
IEEE DOI 1008
BibRef

Lesko, M.[Milan], Kato, Z.[Zoltan], Nagy, A.[Antal], Gombos, I.[Imre], Torok, Z.[Zsolt], Vigh, Jr., L.[Laszlo], Vigh, L.[Laszlo],
Live Cell Segmentation in Fluorescence Microscopy via Graph Cut,
ICPR10(1485-1488).
IEEE DOI 1008
BibRef

Chenouard, N.[Nicolas], Buisson, J.[Johanna], Bloch, I.[Isabelle], Bastin, P.[Philippe], Olivo-Marin, J.C.[Jean-Christophe],
Curvelet analysis of kymograph for tracking bi-directional particles in fluorescence microscopy images,
ICIP10(3657-3660).
IEEE DOI 1009
BibRef

Wu, L.S.[Le-Shin], Shaw, S.L.[Sidney L.],
A Hypothesis Testing Approach for Fluorescent Blob Identification,
ICPR10(2476-2479).
IEEE DOI 1008
BibRef

Wang, K.[Kui], Ng, S.K.[Shu-Kay], McLachlan, G.J.[Geoffrey J.],
Multivariate Skew t-Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data,
DICTA09(526-531).
IEEE DOI 0912
BibRef

Krämer, P., Boto, F., Wald, D., Bessy, F., Paloc, C., Callol, C., Letamendia, A., Ibarbia, I., Holgado, O., Virto, J.M.,
Comparison of Segmentation Algorithms for the Zebrafish Heart in Fluorescent Microscopy Images,
ISVC09(II: 1041-1050).
Springer DOI 0911
BibRef

Soda, P.[Paolo], Onofri, L.[Leonardo], Rigon, A.[Amelia], Iannello, G.[Giulio],
Analysis and Classification of Crithidia Luciliae Fluorescent Images,
CIAP09(558-566).
Springer DOI 0909
BibRef

Soda, P.[Paolo], Iannello, G.[Giulio],
Decomposition Methods and Learning Approaches for Imbalanced Dataset: An Experimental Integration,
ICPR10(3117-3120).
IEEE DOI 1008
BibRef

Pölönen, H.[Harri], Tohka, J.[Jussi], Ruotsalainen, U.[Ulla],
Automatic Quantification of Fluorescence from Clustered Targets in Microscope Images,
SCIA09(667-675).
Springer DOI 0906
BibRef

Helmuth, J.A.[Jo A.], Sbalzarini, I.F.[Ivo F.],
Deconvolving Active Contours for Fluorescence Microscopy Images,
ISVC09(I: 544-553).
Springer DOI 0911
BibRef

Zhou, L.[Lu], Jin, A.[An], Yazici, B.[Birsen],
Fluorescence diffuse optical image reconstruction with a priori information,
ICIP09(1741-1744).
IEEE DOI 0911
BibRef

Svoboda, D.[David], Kašík, M.[Marek], Maška, M.[Martin], Hubený, J.[Jan], Stejskal, S.[Stanislav], Zimmermann, M.[Michal],
On Simulating 3D Fluorescent Microscope Images,
CAIP07(309-316).
Springer DOI 0708
BibRef

Dusch, E., Vincent, N., Genovesio, A.,
3D Fluorescent Spots Detection in Line-Scanning Confocal Microscopy,
ICIP07(VI: 241-244).
IEEE DOI 0709
BibRef

Xiong, G.L.[Guang-Lei], Zhou, X.B.[Xiao-Bo], Ji, L.[Liang], Bradley, P., Perrimon, N., Wong, S.,
Segmentation of Drosophila RNAI Fluorescence Images Using Level Sets,
ICIP06(73-76).
IEEE DOI 0610
BibRef

Kovalev, V.A.[Vassili A.], Harder, N.[Nathalie], Neumann, B.[Beate], Held, M.[Michael], Liebel, U.[Urban], Erfle, H.[Holger], Ellenberg, J.[Jan], Eils, R.[Roland], Rohr, K.[Karl],
Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens,
CVPR06(I: 276-283).
IEEE DOI 0606
BibRef

Gor, V., Elowitz, M., Bacarian, T., Mjolsness, E.,
Tracking Cell Signals in Fluorescent Images,
BioInfo05(III: 142-142).
IEEE DOI 0507
BibRef

Yano, K.[Koji], Kumazawa, I.[Itsuo],
A Modified Nearest Neighbor Method for Image Reconstruction in Fluorescence Microscopy,
ICIAR04(II: 9-16).
Springer DOI 0409
BibRef

Catanzariti, E., Esposito, R.D., Santilli, R., Santoro, M.,
Toward an automated system for the analysis of cytogenetic abnormalities using fluorescence in situ hybridization technique,
CIAP03(289-294).
IEEE DOI 0310
BibRef

Lindblad, J.[Joakim], Bengtsson, E.[Ewert],
A Comparison of Methods for Estimation of Intensity Nonuniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells,
SCIA01(P-W4A). 0206
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Wählby, C., Erlandsson, F., Nyberg, K., Lindblad, J., Zetterberg, A., Bengtsson, E.,
Multiple Tissue Antigen Analysis by Sequential Immunofluorescence Staining and Multi-dimensional Image analysis,
SCIA01(O-Th4A). 0206
BibRef

Böcker, W., Gantenberg, H.W., Müller, W.U., Streffer, C.,
Automated detection of fluorescent cells and measurement of their DNA-content,
CAIP95(686-691).
Springer DOI 9509
BibRef

Waks, A., Gregoriou, G.K., Pyeron, M., Ginsburg, H., Tretiak, O.J.,
A hierarchical model-based framework for segmenting embedded fluorescence biological targets,
ICPR92(III:223-227).
IEEE DOI 9208
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Tracking Cells, Deformations, Motion, Real-Time Analysis .