Thomas Goossens

All Publications

• Crosstalk elimination by rearranging thin-film filters. Optics letters Goossens, T. 2022; 47 (15): 3920-3923

  Abstract

  Patterned thin-film Fabry-Pérot filters are used to develop compact spectral cameras. Recent articles report on crosstalk in such devices, raising concerns regarding spectral and spatial resolution. It has been suggested that light entering a filter might spill over to neighboring filters but this has not yet been analyzed in detail. The proposed mechanism in this Letter is that the Fabry-Pérot filters act as coupled waveguides that can propagate crosstalk above the pixel array. The results show that the crosstalk can be asymmetric, enabling elimination by rearranging the filters on the sensor. Interestingly, the logical strategy where crosstalk to all neighbors is eliminated appears suboptimal due to additional resonances. These findings reveal untapped opportunities for developing better sensors and a corresponding need for further systematic investigations.

  View details for DOI 10.1364/OL.462725

  View details for PubMedID 35913348

• Ray-transfer functions for camera simulation of 3D scenes with hidden lens design OPTICS EXPRESS Goossens, T., Lyu, Z., Ko, J., Wan, G. C., Farrell, J., Wandell, B. 2022; 30 (13): 24031-24047

  View details for DOI 10.1364/OE.457496

  View details for Web of Science ID 000813479600143

• Filter width affects the transmittance of patterned all-dielectric Fabry-Perot filters OPTICS LETTERS Goossens, T. 2021; 46 (23): 5926-5929

  Abstract

  Thin-film all-dielectric Fabry-Perot filters can nowadays be patterned onto pixels of commercial imaging sensors used for spectral imaging. For these patterned filters, standard transfer-matrix thin-film calculations fail to predict their angular dependency. This Letter attributes the discrepancy to the finite filter size and is also, to my knowledge, the first study to analyze this for patterned all-dielectric Fabry-Perot filters. An angular spectrum approach that enables prediction without full knowledge of the filter design is introduced. In addition, the contribution of diffraction at normal incidence is characterized by a single dimensionless parameter. Knowing that patterned filter size matters and having a method to efficiently simulate its effect can guide ongoing miniaturization efforts and filter design.

  View details for DOI 10.1364/OL.442737

  View details for Web of Science ID 000722896900037

  View details for PubMedID 34851925

• Thin-film interference filters illuminated by tilted apertures Goossens, T., Van Hoof, C. OPTICAL SOC AMER. 2020: A112–A122

  Abstract

  Thin-film interference filters can be illuminated by a circular aperture at different angles. Each situation produces a different transmittance spectrum. We present an analytical model that, for small tilt angles, predicts the change in transmittance for an arbitrary position of the filter in three-dimensional space. The model is extended to take into account higher-order harmonics. We also derive a formula to predict the change in central wavelength, and we validate our results by comparison with thin-film transfer-matrix calculations. A key property of our approach is that the model can be combined with empirical data to predict the transmittance without knowing the filter design.

  View details for DOI 10.1364/AO.59.00A112

  View details for Web of Science ID 000526522300018

  View details for PubMedID 32225362

• Exit pupil localization to correct spectral shift in thin-film Fabry-Perot spectral cameras OSA CONTINUUM Goossens, T., Van Hoof, C. 2019; 2 (7): 2217–26

  View details for DOI 10.1364/OSAC.2.002217

  View details for Web of Science ID 000475508200012

• Vignetted-aperture correction for spectral cameras with integrated thin-film Fabry-Perot filters APPLIED OPTICS Goossens, T., Geelen, B., Lambrechts, A., Van Hoof, C. 2019; 58 (7): 1789–99

  Abstract

  Spectral cameras with integrated thin-film Fabry-Perot filters have become increasingly important in many applications. These applications often require the detection of spectral features at specific wavelengths or to quantify small variations in the spectrum. This can be challenging since thin-film filters are sensitive to the angle of incidence of the light. In prior work, we modeled and corrected for the distribution of incident angles for an ideal finite aperture. Many real lenses, however, experience vignetting. Therefore, in this paper, we generalize our model to the more common case of a vignetted aperture, which changes the distribution of incident angles. We propose a practical method to estimate the model parameters and correct undesired shifts in measured spectra. This is experimentally validated for a lens mounted on a visible-to-near-infrared spectral camera.

  View details for DOI 10.1364/AO.58.001789

  View details for Web of Science ID 000460120600033

  View details for PubMedID 30874220

• Finite aperture correction for spectral cameras with integrated thin-film Fabry-Perot filters APPLIED OPTICS Goossens, T., Geelen, B., Pichette, J., Lambrechts, A., Van Hoof, C. 2018; 57 (26): 7539–49

  Abstract

  Spectral cameras with integrated thin-film Fabry-Perot filters enable many different applications. Some applications require the detection of spectral features that are only visible at specific wavelengths, and some need to quantify small spectral differences that are undetectable with RGB color cameras. One factor that influences the central wavelength of thin-film filters is the angle of incidence. Therefore, when light is focused from an imaging lens onto the filter array, undesirable shifts in the measured spectra are observed. These shifts limit the use of the sensor in applications that require fast lenses or lenses with large chief ray angles. To increase flexibility and enable new applications, we derive an analytical model that explains and can correct the observed shifts in measured spectra. The model includes the size of the aperture and physical position of each filter on the sensor. We experimentally validate the model with two spectral cameras: one in the visible and near-infrared region and one in the short wave infrared region.

  View details for DOI 10.1364/AO.57.007539

  View details for Web of Science ID 000444085500015

  View details for PubMedID 30461824

• Hyperspectral Calibration Method For CMOS-based Hyperspectral Sensors Pichette, J., Goossens, T., Vunckx, K., Lambrechts, A., Soskind, Y. G., Olson, C. SPIE-INT SOC OPTICAL ENGINEERING. 2017

  View details for DOI 10.1117/12.2253617

  View details for Web of Science ID 000399923700014

• Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition Dreesen, P., Goossens, T., Ishteva, M., De Lathauwer, L., Schoukens, J., Vincent, E., Yeredor, A., Koldovsky, Z., Tichavsky, P. SPRINGER-VERLAG BERLIN. 2015: 14–21

  View details for DOI 10.1007/978-3-319-22482-4_2

  View details for Web of Science ID 000363785500002