# US 2020/0401082 A1 · Coherent Optical Holographic Imaging > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2020/0401082 A1 - Document ID: US20200401082A1 - Status: Published application - Kind: A1 - Application number: 16/906,369 - Filed: 2020-06-19 - Published: 2020-12-24 - Earliest claimed: 2019-06-19 - Assignees: The Johns Hopkins University - Applicants: The Johns Hopkins University - Inventors: David W. Blodgett; Carissa L. Rodriguez; Austen T. Lefebvre; Eyal Bar-Kochba - Web page: https://patentgrep.com/patent/US20200401082A1 ## CPC - G03H 1/2205: {using downstream optical component} - A61B 5/0066: {Optical coherence imaging} - G01N 15/147: {the analysis being performed on a sample stream} - G02B 13/22: Telecentric objectives or lens systems - G02B 21/365: {Control or image processing arrangements for digital or video microscopes (G02B21/361, G02B21/362 take precedence)} - G02B 27/1006: {for splitting or combining different wavelengths (G02B27/1086, G02B27/141 take precedence)} - G03H 1/0443: {Digital holography, i.e. recording holograms with digital recording means (holobject computation G03H1/0866)} - G03H 1/0866: {Digital holographic imaging, i.e. synthesizing holobjects from holograms} - A61B 5/0261: {using optical means, e.g. infrared light} - G01N 2015/1006: {for cytology} - G03H 2001/0463: {Frequency heterodyne, i.e. one beam is frequency shifted} - G03H 2001/2207: {Spatial filter, e.g. for suppressing higher diffraction orders} - G03H 2210/62: Moving object - G03H 2222/20: Coherence of the light source - G03H 2222/45: Interference beam at recording stage, i.e. following combination of object and reference beams - G03H 2226/02: Computing or processing means, e.g. digital signal processor [DSP] - G03H: HOLOGRAPHIC PROCESSES OR APPARATUS (holograms, e.g. point holograms, used as ordinary optical elements G02B5/32; producing stereoscopic or other three-dimensional effects G02B30/00; diffraction-grating systems G02B27/44; systems using moiré fringes G02B27/60; optical logic elements G02F3/00; stereo-photography G03B35/00; photosensitive materials or processes for photographic purposes G03C; {stereo-photographic or similar processes G03C9/00}; apparatus for processing exposed photographic materials G03D; analogue computers performing mathematical operations with the aid of optical elements G06E3/00; authentication by radiation, of concealed information carried by holograms or diffraction gratings G06K19/16; holographic storage G11B7/0065, G11C13/04; {stereoscopic or other three dimensional effects in television systems H04N13/00}) - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) - G02B: OPTICAL ELEMENTS, SYSTEMS OR APPARATUS ## Abstract A holographic imaging system may include an optical source configured to output a source beam and a splitter configured to split the source beam into a reference beam and an object beam that may be incident on a target to form a scattered object beam. The system may also include a combiner configured to combine the filtered scattered object beam with the reference beam to form an interference beam, an imaging array configured to receive the interference beam and generate frames of raw holographic data based on measurements of the interference beam over time, and an image data processor. The image data processor may be configured to receive the frames of raw holographic data from the imaging array, remove data components within the frames that are associated with the particle motion having a motion frequency that is less than a movement frequency threshold to form conditioned raw holographic data, and generate an image based on the conditioned raw holographic data. ## Claims ### Claim 1 A holographic imaging system comprising: an optical source configured to output a source beam; a splitter configured to split the source beam into a reference beam and an object beam, the object beam being incident on a target to form a scattered object beam; a combiner configured to combine the filtered scattered object beam with the reference beam to form an interference beam; an imaging array configured to receive the interference beam and generate frames of raw holographic data based on measurements of the interference beam over time; and an image data processor configured to: receive the frames of raw holographic data from the imaging array; remove data components within the frames of raw holographic data that are associated with the particle motion having a motion frequency that is less than a movement frequency threshold to form conditioned raw holographic data; and generate an image based on the conditioned raw holographic data. ### Claim 2 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor is further configured to remove data components within the frames of raw holographic data that are associated with the particle motion having a frequency that is less than a movement frequency threshold by averaging the frames of raw holographic data to form an average frame, and subtracting the data of the average frame from the raw holographic data of the one or more frames to generate the conditioned raw holographic data. ### Claim 3 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor is further configured to separate raw holographic data corresponding to a single frame of data from a single frame capture of the imaging array into a first effective frame of raw holographic data and a second effective frame of raw holographic data based on an incident angle of the interference beam on the imaging array and an incident angle of a time delayed interference beam on the imaging array. ### Claim 4 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor configured to generate the image includes being configured to: divide the conditioned raw holographic data of a frame into a plurality of tiles; determine a quality score for phase data of each tile based on thresholds for the magnitude data for each tile; generate a holographic image for each tile; and combine holographic images for each tile based on the quality scores. ### Claim 5 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor is further configured to reconstruct an image of the target and determine a decorrelation time of the target by spatially computing an autocorrelation function over windows in the reconstructed image applied to a sequence of frames. ### Claim 6 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor is configured to determine differential phase measurements to extract indications of relative motion of the target. ### Claim 7 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor configured to generate the image includes being configured to implement a complex cross correlation to determine a differential phase between frames. ### Claim 8 (depends on 1) The holographic imaging system of claim 1, wherein the image data processor is further configured to determine a decorrelation time of a target from an autocorrelation function based on a complex cross correlation applied to a sequence of frames. ### Claim 9 A method comprising: outputting a source beam from an optical source; splitting the source beam into a reference beam and an object beam, the object beam being incident on a target to form a scattered object beam; combining the scattered object beam with the reference beam to form an interference beam; receiving the interference beam at an imaging array; generating frames of raw holographic data based on measurements of the interference beam over time; removing data components within the frames of raw holographic data that are associated with the particle motion having a motion frequency that is less than a movement frequency threshold to form conditioned raw holographic data; and generating an image based on the conditioned raw holographic data. ### Claim 10 (depends on 9) The method of claim 9, further comprising removing data components within the frames of raw holographic data that are associated with the particle motion having a frequency that is less than a movement frequency threshold by averaging the frames of raw holographic data to form an average frame, and subtracting the data of the average frame from the raw holographic data of the one or more frames to generate the conditioned raw holographic data. ### Claim 11 (depends on 9) The method of claim 9, further comprising separating raw holographic data corresponding to a single frame of data from a single frame capture of the imaging array into a first effective frame of raw holographic data and a second effective frame of raw holographic data based on an incident angle of the interference beam on the imaging array and an incident angle of a time delayed interference beam on the imaging array. ### Claim 12 (depends on 9) The method of claim 9, wherein generating the image comprises: dividing the conditioned raw holographic data of a frame into a plurality of tiles; determining a quality score for phase data of each tile based on thresholds for the magnitude data for each tile; generating a holographic image for each tile; and combining holographic images for each tile based on the quality scores. ### Claim 13 (depends on 9) The method of claim 9, further comprising reconstructing an image of the target and determining a decorrelation time of the target by spatially computing an autocorrelation function over windows in the reconstructed image applied to a sequence of frames. ### Claim 14 (depends on 9) The method of claim 9, further comprising determining differential phase measurements to extract indications of relative motion of the target. ### Claim 15 (depends on 9) The method of claim 9, wherein generating the image comprises implementing a complex cross correlation to determine a differential phase between frames. ### Claim 16 (depends on 9) The method of claim 9, further comprising determining a decorrelation time of a target from an autocorrelation function based on a complex cross correlation applied to a sequence of frames. ### Claim 17 A method comprising: receiving an interference beam at an imaging array, the interference beam being formed by mixing a scattered object beam from a target and a reference beam; generating frames of raw holographic data based on measurements of the interference beam over time; removing data components within the frames of raw holographic data that are associated with the particle motion having a motion frequency that is less than a movement frequency threshold to form conditioned raw holographic data; and generating an image based on the conditioned raw holographic data. ### Claim 18 (depends on 17) The method of claim 17, further comprising removing data components within the frames of raw holographic data that are associated with the particle motion having a frequency that is less than a movement frequency threshold by averaging the frames of raw holographic data to form an average frame, and subtracting the data of the average frame from the raw holographic data of the one or more frames to generate the conditioned raw holographic data. ### Claim 19 (depends on 17) The method of claim 17, further comprising separating raw holographic data corresponding to a single frame of data from a single frame capture of the imaging array into a first effective frame of raw holographic data and a second effective frame of raw holographic data based on an incident angle of the interference beam on the imaging array and an incident angle of a time delayed interference beam on the imaging array. ### Claim 20 (depends on 17) The method of claim 17, wherein generating the image comprises: dividing the conditioned raw holographic data of a frame into a plurality of tiles; determining a quality score for phase data of each tile based on thresholds for the magnitude data for each tile; generating a holographic image for each tile; and combining holographic images for each tile based on the quality scores.