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The objective of this work is to use the compressive sensing in the field of the space exploration.
The compressive sensing theory affirms that an image can be retrieved taking only fewer mea-
surement with respect to the minimum number dictated by the Nyquist theory. Contrarily to
the classical method of acquisition of an image, the CS technique allows to create lensless cam-
eras like the Flatcam, the NoRDS-CAIC and the DiffuserCam. The drawback of this technique
is the need of a decoding algorithm for the reconstruction of the original image.
The reconstruction method of the images is not unique, there are classical methods, that use
the total variation minimization, and the deep learning methods. This work analyzes and com-
pares two classical and two deep learning methods in order to find the best method for the
space application.
The simulations have found that the method using the deep learning approach give optimum
results. The images can be well-reconstructed already with a number of measurement that is
the 30% of the size of the images in less than one second.
In order to practically understand the principle of the compressive sensing, an example of the
DiffuserCam has been constructed in the laboratory. The camera is composed only by a diffuser
and a sensor. The experience gave great results, the images have been reconstructed with great
quality in short time.
Finally, the compressive sensing seems to be fascinating for the space application. This tech-
nique allows to suppress the compressing board because the data are taken already compressed.
The suppression of the compression board reduces the mass and especially the power budgets.
Moreover, the post-processing on board allows the reduction of the downlink transmission.
The compressive sensing in space exploration finds its application especially in the infrared
spectral band. In fact, the infrared detectors are too expensive and the compressive sensing
instruments uses the single pixel detectors that are cheaper

compressive sensing --- lensless imaging --- Diffusercam --- Ingénierie, informatique & technologie > Ingénierie aérospatiale

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Mobile sensing and diagnostic capabilities are becoming extremely important for a wide range of emerging applications and fields spanning mobile health, telemedicine, point-of-care diagnostics, global health, field medicine, democratization of sensing and diagnostic tools, environmental monitoring, and citizen science, among many others. The importance of low-cost mobile technologies has been underlined during this current COVID-19 pandemic, particularly for applications such as the detection of pathogens, including bacteria and viruses, as well as for prediction and management of different diseases and disorders. This book focuses on some of these application areas and provides a timely summary of cutting-edge results and emerging technologies in these interdisciplinary fields.

Zika NS1 --- point of care --- colorimetric --- smartphone --- microfluidic --- inertial sensors --- pediatric neurological disease --- kinematics --- motor activity --- depression --- depressive episodes --- data mining --- random forest --- night --- Parkinson’s disease --- recurrent neural network --- motion sensor --- monitoring the condition of patients --- fever --- NMFI --- mobile laboratory --- RPA --- DENV --- mobile applications --- diagnostic equipment --- headache --- migraine --- postural balance --- visual motor coordination --- vestibular function tests --- infectious diseases --- diagnostics --- point-of-care devices --- microfluidics --- plasmonics --- lensless imaging --- n/a --- Parkinson's disease

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This open access book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to instrumentation, to mathematical foundations of imaging and data analysis. Subsequent chapters demonstrate how these cutting edge methods are applied to a variety of systems, including complex fluids and biomolecular systems, for visualizing their structure and dynamics, in space and on timescales extending over many orders of magnitude down to the femtosecond range. Progress in nanoscale photonic imaging in Göttingen has been the sum total of more than a decade of work by a wide range of scientists and mathematicians across disciplines, working together in a vibrant collaboration of a kind rarely matched. This volume presents the highlights of their research achievements and serves as a record of the unique and remarkable constellation of contributors, as well as looking ahead at the future prospects in this field. It will serve not only as a useful reference for experienced researchers but also as a valuable point of entry for newcomers.

Spectroscopy. --- Microscopy. --- Lasers. --- Photonics. --- Optical data processing. --- Nanoscale science. --- Nanoscience. --- Nanostructures. --- Materials science. --- Spectroscopy and Microscopy. --- Biological Microscopy. --- Optics, Lasers, Photonics, Optical Devices. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Nanoscale Science and Technology. --- Characterization and Evaluation of Materials. --- Nano science --- Nanoscale science --- Nanosciences --- Science --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- New optics --- Optics --- Light amplification by stimulated emission of radiation --- Masers, Optical --- Optical masers --- Light amplifiers --- Light sources --- Optoelectronic devices --- Nonlinear optics --- Optical parametric oscillators --- Analysis, Microscopic --- Light microscopy --- Micrographic analysis --- Microscope and microscopy --- Microscopic analysis --- Optical microscopy --- Analysis, Spectrum --- Spectra --- Spectrochemical analysis --- Spectrochemistry --- Spectrometry --- Spectroscopy --- Chemistry, Analytic --- Interferometry --- Radiation --- Wave-motion, Theory of --- Absorption spectra --- Light --- Spectroscope --- Material science --- Physical sciences --- Nanoscience --- Physics --- Optical equipment --- Qualitative --- Analytical chemistry --- Spectroscopy and Microscopy --- Biological Microscopy --- Optics, Lasers, Photonics, Optical Devices --- Computer Imaging, Vision, Pattern Recognition and Graphics --- Nanoscale Science and Technology --- Characterization and Evaluation of Materials --- Life Sciences --- Laser --- Nanophysics --- Characterization and Analytical Technique --- X-ray optics --- X-ray imaging --- Mathematical imaging --- Sub-diffraction optical microscopy --- Multidimensional microscopy --- High resolution spectroscopy --- Lensless imaging --- Time dependent x-ray scattering --- Inverse optical problems --- Nano biophotonics --- DFG funded OA book --- Nanoscale optical imaging --- Nanoscale biological imaging --- Open Access --- Spectrum analysis, spectrochemistry, mass spectrometry --- Scientific equipment, experiments & techniques --- Biology, life sciences --- Optical physics --- Applied optics --- Computer vision --- Nanotechnology --- Testing of materials