DETERMINING ACOUSTIC CHARACTERISTICS OF SAMPLE CONTAINERS AND FLUID SAMPLES THEREIN USING REFLECTED ACOUSTIC SIGNALS
20240192178 ยท 2024-06-13
Inventors
Cpc classification
G01H3/14
PHYSICS
G01N29/07
PHYSICS
G01N29/024
PHYSICS
International classification
G01N29/44
PHYSICS
G01N29/024
PHYSICS
G01N29/07
PHYSICS
Abstract
The present application relates to a liquid transfer system capable of using ultrasonic sound signals to transfer liquid samples from a first container to a second container as well as using ultrasonic sound signals to measure the characteristics of both the liquid and the first container. The system uses a transducer to transmit a plurality of sound signals and receives a plurality signals reflected off the sample and the bottom wall of the container to measure the liquid and/or container characteristics. The plurality of transmitted sound signals occur during a plurality of transducer positions from the first container in which the system identifies the signal converging on various surfaces of the liquid and/or container, and uses the reflected signals corresponding to those positions to calculate the sample and container characteristics.
Claims
1-25. (canceled)
26. A system for acoustically measuring at least one characteristic, wherein the at least one characteristic comprises at least one of a characteristic of a container or a characteristic of a liquid within the container, the system comprising: a transducer configured to emit a plurality of emitted signals towards the container bottom wall, and receive a corresponding plurality of reflected signals, wherein the plurality of emitted signals comprises a first emitted signal and a second emitted signal, the plurality of reflected signals comprises a first reflected signal and a second reflected signal, and the plurality of emitted signals and the plurality of reflected signals comprise acoustic signals; a controller configured to move the transducer into a plurality of transducer positions along a first dimension with respect to the container bottom wall, wherein the plurality of transducer positions comprises a first transducer position and a second transducer position, and wherein the first dimension comprises a vertical dimension; and a processor configured to measure the at least one characteristic in part by processing data associated with the plurality of reflected signals, wherein the transducer is configured to emit the first emitted signal when the transducer is in the first transducer position, and wherein the transducer is configured to emit the second emitted signal when the transducer is in the second transducer position.
27. The system of claim 26, wherein the at least one characteristic comprises at least one of a depth of the liquid within the container, an acoustic impedance of the liquid within the container, a sound speed of the emitted signal through the liquid within the container, or an acoustic attenuation of the liquid within the container.
28. The system of claim 26, wherein the processor is further configured to determine at least one of an acoustic impedance of the container, a thickness of the container bottom wall, a longitudinal sound speed of the emitted signal through the container bottom wall, an acoustic attenuation of the container, or a shear sound speed of the emitted signal through the container bottom wall.
29. The system of claim 26, wherein: the container comprises a first well, a second well, and a third well; the system is further configured to measure the at least one characteristic for each of the first well, the second well, and the third well; and the controller is further configured to move the transducer along a second dimension from under the first well to under the second well, wherein the controller is further configured to move the transducer along a third dimension from under the second well to under the third well, and wherein the second dimension and the third dimension comprise X and Y horizontal dimensions, respectively.
30. The system of claim 29, wherein the container is configured to contain a first liquid, a second liquid, and a third liquid in the first well, the second well, and the third well, respectively, and wherein the system is further configured to measure at least one characteristic for each of the first liquid, the second liquid, and the third liquid when measuring the at least one characteristic for each of the first well, the second well, and the third well, respectively.
31. The system of claim 30, wherein the at least one characteristic comprises, for each well, at least one of a respective acoustic impedance of the contained liquid, a respective acoustic attenuation of the contained liquid, or a respective sound speed of the emitted signal through the contained liquid.
32. The system of claim 31, wherein the wherein the processor is further configured to determine, for the container bottom wall of each well, at least one of an acoustic impedance, a thickness, an acoustic attenuation, a longitudinal sound speed of the emitted signal through the container bottom wall, or a shear sound speed of the emitted signal through the container bottom wall.
33. The system of claim 26, wherein the system further comprises: a coupling liquid between the transducer and the container bottom wall; and a temperature sensor configured to measure a temperature of the coupling liquid, wherein the processor is further configured to measure the at least one characteristic in part by processing data corresponding to the temperature of the coupling liquid.
34. A system for acoustically measuring at least one characteristic, wherein the at least one characteristic comprises at least one of a characteristic of a container or a characteristic of a liquid within the container, the system comprising: a transducer configured to emit an emitted signal towards a bottom wall of the container, and receive a reflected signal from the container bottom wall and the liquid, wherein the emitted signal and the reflected signal comprise acoustic signals; and a processor configured to measure the at least one characteristic in part by processing data corresponding to the emitted signal and each of a first peak, a second peak, and a third peak of the reflected signal, wherein the reflected signal comprises a plurality of echoes, and wherein the processor is further configured to recognize that each of the first, second, and third peaks corresponds to a different one of the plurality of echoes and corresponds to a particular region of the container.
35. The system of claim 34, wherein the processor is further configured to measure at least one characteristic of the container bottom wall by recognizing that the first peak corresponds to an echo from a bottom surface of the container bottom wall, the second peak corresponds to an echo from longitudinal waves reflecting off a top surface of the container bottom wall, and the third peak corresponds to an echo from shear waves reflecting off the top surface of the container bottom wall.
36. The system of claim 34, wherein the at least one characteristic of the container comprises at least one of an acoustic impedance, an acoustic attenuation, a bottom wall thickness, a longitudinal sound speed of the emitted signal through the container, or a shear sound speed of the emitted signal through the container.
37. The system of claim 34, wherein the processor is further configured to measure at least one characteristic of the liquid by processing data further corresponding to a fourth peak of the reflected signal, and by recognizing that the fourth peak corresponds to an echo from a free surface of the liquid.
38. The system of claim 37, wherein the at least one characteristic of the liquid comprises at least one of a sound speed of the emitted signal through the liquid, an acoustic impedance of the liquid, an acoustic attenuation of the liquid, or a depth of the liquid in the container.
39. A system for acoustically measuring at least one characteristic, wherein the at least one characteristic comprises at least one characteristic of a container or a characteristic of a liquid contained within the container, the system comprising: a transducer configured to emit an emitted signal towards a container bottom wall of the container, and receive a reflected signal from the container and the liquid, wherein the emitted signal and the reflected signal comprise acoustic signals, and wherein the reflected signal comprises a plurality of echoes; and a processor configured to measure the at least one characteristic in part by processing data corresponding to the emitted signal and a first peak and a second peak of the reflected signal, and by recognizing that the first peak corresponds to an echo from a shear wave impacting a surface the container bottom wall, and by recognizing that the second peak corresponds to an echo from a longitudinal wave impacting a surface of the container bottom wall.
40. The system of claim 39, wherein the processor is further configured to recognize that the first peak and the second peak correspond to echoes from the same location of the container bottom wall.
41. The system of claim 39, wherein the processor is further configured to recognize that the first peak and the second peak correspond to echoes from different surfaces of the container bottom wall.
42. The system of claim 39, wherein the processor is further configured to measure the at least one characteristic based in part on a delay between the first peak and the second peak, but not based on amplitudes of the first and second peak.
43. The system of claim 39, wherein the processor is further configured to measure the at least one characteristic based in part on a difference in amplitudes between the first peak and the second peak, but not based on a delay between the first and second peak.
44. The system of claim 39, wherein the at least one characteristic includes at least one characteristic of the container, which comprises at least one of an acoustic impedance of the container, an acoustic attenuation of the container, a bottom wall thickness of the container, a longitudinal sound speed of the emitted signal through the container, or a shear sound speed of the emitted signal through the container.
45. The system of claim 39, wherein the processor is further configured to measure at least one characteristic of the liquid by processing data further corresponding to an additional peak of the reflected signal, and by recognizing that the additional peak corresponds to an echo from a free surface of the liquid.
Description
BRIEF DESCRIPTION OF SEVERAL VIEWS OF THE DRAWINGS
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[0043] The foregoing description of certain techniques of the present application, will be better understood when read in conjunction with the appended drawings. For the purposes of illustration, certain techniques are shown in the drawings. It should be understood, however, that the claims are not limited to the arrangements and instrumentality shown in the attached drawings.
DETAILED DESCRIPTION
[0044]
[0045] In order to cause the ejected liquid 102 to be ejected from the sample 101, the transducer 112 generates acoustic energy (e.g., ultrasonic energy), which is focused then by the acoustic lens 113 into a beam 170. In the figures, the beam 170 is shown in two dimensions, but it is understood that it is three dimensional. Furthermore, the beams 170 in
[0046] In the context of ADE, the term focus can be used with reference to a focal point associated with an acoustic lens and also with reference to the point at which the acoustic waves converge (i.e., the convergence point). In many cases, this usage can be helpful and provide clarity. However, certain techniques disclosed herein distinguish between the concepts of a focal point and a convergence point. Therefore, these concepts are distinctly described.
[0047] In
[0048] The electronic circuitry 140 includes a processor 143, a motor controller 142, transmit signal circuitry 144, receive signal circuitry 145, and temperature sensor circuitry 141. Although shown as separate components for explanatory purposes, portions of the electronics 140 may be combined or integrated. Furthermore, some components may include multiple different subcomponents. For example, the processor 143 may include multiple processors.
[0049] The processor 143 causes the transmit signal circuitry 144 to generate an analog electrical signal, which is communicated to the transducer 112. The transducer 112 then vibrates in response to the analog signal (amplitude and frequency), such that a corresponding acoustic signal is emitted. The transducer assembly 110 may also receive acoustic signals (e.g., acoustic signals reflected from the container or the liquid within the container in response to the emitted acoustic signal) and vibrate sympathetically. This may generate an analog electrical signal, which is then communicated to the receive signal circuitry 145. The information in the reflected acoustic signal will be analyzed by the processor 143.
[0050] The processor 143 can also communicate with the motor controller 142 to control the location of the transducer assembly 110. The motor controller 142 controls one or more of the X/Y/Z motors 150 to move the transducer assembly 110 relative to the container plate 120. As shown, the X/Y/Z motors 150 are coupled (directly or indirectly) to the transducer assembly 110, but these or other motors may be coupled (directly or indirectly) to the container plate 120 and/or the receiver plate 130 in order control the relative movement between the transducer assembly 110, the container plate 120, and/or the receiver plate 130.
[0051] In some embodiments, the ADE system 100 may include temperature sensors (not shown) that can be located in the coupling liquid 160, in a region between the container plate 120 and the receiver plate 130, or other locations. The temperature sensor circuitry 141 receives signals (e.g., electrical or wireless) from the sensors, and communicates with the processor 143 such that temperatures (e.g., of the coupling liquid 160, the containers 122, the samples 101, air temperature) can be measured.
[0052] In some examples, the transducer assembly 110 can have a cylindrical shape. In some examples, instead of using a single transducer 112 to both transmit and receive acoustic signals, the transducer assembly 110 may include separate transmitter and receiver transducers, for example, as disclosed in U.S. Pat. No. 10,787,670, which is herein incorporated by reference in its entirety. According to one technique, receiving transducer can substantially surround the transmitting transducer and acoustic lens.
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[0055]
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[0057] The convergence point 171 moves along the z-axis with the transducer assembly 110. During the sweep, the transducer assembly 110 moves along the z-axis while centered underneath a given container 122. In this example, the transducer assembly 110 emits a beam 170 at five z-positions (H.sub.1, H.sub.2, H.sub.3, H.sub.4, and H.sub.5) at corresponding times (T.sub.1, T.sub.2, T.sub.3, T.sub.4, and T.sub.5). The transducer assembly 110 also receives reflected acoustic energy in response to each transmitted beam 170. The transducer assembly 110 may or may not be at the same z-position during transmission and reception (and the ADE system 100 may account for this mathematically when processing the received reflected signals).
[0058]
[0059]
[0060] At time TR.sub.1, the transducer assembly 110 is positioned at z-position HR.sub.1 such that the convergence point 171 is below the bottom surface 181 of the reference object 180. At time TR.sub.2, the transducer assembly 110 is positioned at z-position HR.sub.2, such that the convergence point 171 aligns with the bottom surface 181 of the reference object 180. At time TR.sub.3, the transducer assembly 110 is positioned at z-position HR.sub.3 such that the convergence point 171 is above the bottom surface 181. Although
[0061] Each step in the sweeps shown in
[0062] Some of the emitted energy is reflected back to the transducer 112 in the form of a reflected acoustic signal (a reflected signal). Generally, acoustic energy is reflected at interfaces between different media. In the case of acoustic energy emitted towards a container 122 and sample 101 (see
[0063]
[0064] The envelope 804 has four distinct peaks corresponding to four different reflections or echoes from media interfaces. Peak 806 corresponds to an echo from the bottom wall lower surface (numbered 121 in
[0065]
[0066]
[0067] The BB-sweep curve 1010 is generated from data from a single sweep. Unlike the sweep shown in
[0068] The reference sweep 1050 is generated similarly to the BB sweep curve 1010, except that the reference sweep curve 1050 results from reflections off of the bottom surface 181 of the reference object 180 (see BB peak 906 in
[0069]
[0070] Curves 1120, 1130, and 1140 are similar to BB sweep curve 1010. Each has its own peak: TBL-sweep curve peak 1122; TBS-sweep curve peak 1132; and SR-sweep curve peak 1142. Both the TBL-sweep curve peak 1122 and the TBS-sweep curve peak 132 indicate the distance along the z-axis between the transducer 112 and the bottom wall upper surface 123 of the container 122, except that TBL-sweep curve peak 1112 corresponds to the time of flight between the transducer 112 and the bottom wall upper surface 123 for a longitudinal wave, whereas TBS-sweep curve peak 1132 corresponds to the time of flight between the transducer 112 and the bottom wall upper surface 123 for a shear wave. SR-sweep curve peak 1142 indicates the distance along the z-axis between the transducer 112 and the free surface 103 of the sample 101.
[0071] Each of these peaks 1122, 1132, 1142, indicate the z-position of the transducer 112 when the convergence point 171 aligns with a material interface. TBL-sweep curve peak 1122 indicates when the convergence point 171 of a longitudinal wave aligns with the bottom wall upper surface 123 of the container 122, as depicted in
[0072] All of the curves in
[0073]
[0074]
[0075]
[0076] In
[0077]
[0078] In general, the beam angle of an acoustic wave changes at the interface between two different media. In the case of
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[0082] For
[0083]
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[0085] As will be further described below, the aforementioned geometries and principles shown in
[0086] The processor 143 can control operation of the system 100 and receive data as discussed above in order to determine one or more characteristics of the sample 101 and the container 122 using the techniques described below. The characteristics of the sample 101 include the sound speed v.sub.f (i.e., the speed at which sound travels through the sample 101), the depth T.sub.f of the sample 101, and the acoustic impedance Z.sub.f. The characteristics of the container bottom wall 124 include longitudinal sound speed v.sub.pl, the shear sound speed v.sub.ps, the thickness of the container bottom wall T.sub.p, and the acoustic impedance Z.sub.p.
[0087] Additionally, the system can determine the speed of sound v.sub.w for the coupling liquid 160 based on the temperature of the coupling liquid 160 measured at the temperature sensor by the temperature sensor circuitry 141 and the properties known based on the type of coupling liquid 160. Similarly, the system can determine the density of the air ?.sub.a and speed of sound of the air v.sub.a based on the temperature of the air above the container 122 at the temperature sensor by the temperature sensor circuitry 141 and the known properties of air.
Longitudinal Sound Speed in the Container and Thickness of the Container Bottom Wall
[0088] The longitudinal speed of sound v.sub.pl in the container 122 and its thickness T.sub.p can be determined simultaneously. Initially, the distance L.sub.ref can be determined based on (1) the time of flight BB.sub.ref of sound traveling back and forth through the coupling liquid 160 between the transducer assembly 110 and the reference object bottom surface 181 (see
[0089] Next, ?.sub.1 (and therefore its inverse ?.sub.1?) can be calculated based on (1) L.sub.ref, (2) R.sub.ref(which is known based on the shape of the beam 170 emitted from the transducer assembly 110), and an angular correction term ?. The angular correction term ? takes into account the difference between D.sub.ref and the diameter of the transducer assembly 110 at the top surface of acoustic lens 113 as shown in
[0090] Next, the container bottom wall thickness T.sub.p and the longitudinal speed of sound v.sub.pl in the container 122 are calculated based on the relationships of
[0091] Generally, Snell's law relates the speed of a wave and the angle of incidence through one media to the speed of the wave and resulting angle of refraction in a second media. As such, Snell's law relates the transmitted signal 170 as it passes through the coupling liquid 160 at the corresponding beam angle ?.sub.1 up to the bottom wall lower surface 121 as compared to the to the deflected signal passing through the container 122 at the transmission angle ?.sub.2. As is shown in
[0092] Next, the container longitudinal speed of sound v.sub.pl is solved for. Initially, the transit time t.sub.pl is calculated based on the difference between the measured top of bottom time of flight TBL.sub.i and bottom of bottom time of flight BB.sub.l (see
[0093] Next, the container longitudinal beam radius R.sub.1 is solved for. Initially, the container bottom distance D.sub.bbl can be determined based on the speed of sound v.sub.w of the coupling liquid 160, the bottom of bottom time of flight BB.sub.l, and Equation 1. Next, L.sub.pl is solved for as the difference between L.sub.ref and D.sub.bbl (see
[0094] Sin ?.sub.2 can also be solved. The spatial relationship between ?.sub.2, R.sub.1, and T.sub.p (see
[0095] Finally, T.sub.p can be solved for. At this point, v.sub.pl, sin ?.sub.2, ?.sub.1, R.sub.1 have been solved for. Additionally, ? and v.sub.w are known. Applying Snell's law from Eq. 3, and substituting the known values and variables results in Eq. 7 that can be solved numerically for the thickness of the bottom wall of the container T.sub.p:
[0096] The container longitudinal sound speed v.sub.pl can be solved numerically at this point. T.sub.p and t.sub.pl can be applied to Eq. 4 to calculate a value of v.sub.pl.
Shear Sound Speed in the Container and Thickness of the Container Bottom Wall
[0097] The shear speed of sound v.sub.ps in the container 122 and the container bottom wall thickness T.sub.p can also be determined based on the relationships of
[0098] First, the container shear sound speed v.sub.ps is solved for. Initially, the transit time t.sub.ps is calculated based on the difference between the measured top of bottom time of flight of the shear wave echo TBS.sub.S and bottom of bottom time of flight BB.sub.s (see
[0099] Snell's law is applied to
[0100] The container shear beam radius R.sub.s can be solved for. Initially, the shear container bottom distance D.sub.bbs can be determined based on the speed of sound v.sub.w of the coupling liquid 160, the bottom of bottom time of flight BB.sub.s, and Equation 1. Next, L.sub.ps is solved for as the difference between L.sub.ref and D.sub.bbs (see
[0101] Sin ?.sub.3 can also be solved for. The spatial relationship between ?.sub.3, R.sub.s, and T.sub.p (see
[0102] Finally, T.sub.p can be solved for a second time. At this point, v.sub.ps, sin ?.sub.3, angle ?.sub.1, R.sub.s have been solved for. And, ? and v.sub.w are still known. Applying Snell's law from Eq. 9, and substituting the known values and variables results in Eq. 12 that can be solved numerically for the thickness of the bottom wall of the container T.sub.p:
[0103] The values for T.sub.p from solving Eqs. 7 and 12 should be equal as they both measure the thickness T.sub.p of the container bottom wall 124. However, the calculation of v.sub.pl in Eq. 4 is sensitive to the values used for TBL.sub.l and BB.sub.l corresponding to the specific reflected signal selected for the TBL-sweep curve peak 1122. Similarly, the calculation of v.sub.ps in Eq. 8 is sensitive to the values for TBS.sub.s and BB.sub.s corresponding to the specific reflected signal selected for the TBS-sweep curve peak 1132. By separately calculating both T.sub.p based on v.sub.pl as well as based on v.sub.ps, an iterative process can be used to determine the specific reflected signal for the respective TBL-sweep curve peak 1122 and TBS-sweep curve peak 1132 and their corresponding time of flight values that result in the closest values of T.sub.p for both sets of equations.
Sound Speed in the Liquid and Depth of the Sample
[0104] With the calculations for the container 122 complete, the speed of sound v.sub.f of the sample 101 and depth T.sub.f of the sample 101 can be determined. The difference between the SR.sub.f and TBL.sub.f provide a liquid transit time t.sub.f. T.sub.f is used as a variable. The relationship between T.sub.f and t.sub.f in
[0105] T.sub.f and ?.sub.4 further can be determined with previously calculated values. Specifically, T.sub.p, ?.sub.1, and ?.sub.2. Additionally, L.sub.SR can be calculated based on D.sub.bbf and v.sub.w similar to before. Similarly, v.sub.f can be calculated by using Snell's law. Because v.sub.w, v.sub.pl, ?.sub.1, and ?.sub.2 have all been calculated, T.sub.f and v.sub.f can be calculated numerically using Applying the relationships of
[0106] Although these calculations as described above identify specific measured values and corresponding calculations. One skilled in the art would recognize other similar calculations based on similar or equivalent measurement points or equations based on the geometry established by the system during the sweep and the corresponding reflected signals as shown in
Acoustic Impedances of the Container and Sample
[0107] The acoustic impedances of the container bottom wall 124 and sample 101 are calculated. The reference-sweep curve peak 1052 and BB-sweep curve peak 1012 of
[0108] A pressure transmission coefficient T to relates an acoustic impedance of a first interface Z.sub.1 with the acoustic impedance of a second interface Z.sub.2 when the sound wave passes through the interface between the first interface and the second interface. The pressure reflection coefficient T can be related as Eq. 17:
[0109] The acoustic impedances of materials with a known density p and a known sound speed v based on Eq. 18:
Z=?vEquation 18
[0110] The impedance Z.sub.w of the coupling liquid 160 again using the temperature sensor circuitry 141 to determine the temperature of the coupling liquid 160 to determine the coupling liquid density ?.sub.w and coupling liquid sound speed v.sub.w for a known coupling liquid 160. Similarly, the system processor 143 calculates the impedance Z.sub.a of the air space above the sample 101 using the corresponding temperature detected by the temperature sensor circuitry 141 and a corresponding air density ?.sub.a and air sound speed v.sub.a. Additionally, the system processor 143 also has stored values corresponding to the impedance Z.sub.ref of the reference object 180 based on the reference object being made of a known material.
[0111] An initial sound pressure p.sub.0 is calculated. REF comes from the amplitude of the reference-sweep curve peak 1052 of
[0112] The initial sound pressure p.sub.0 is solved for as Eq. 20:
[0113] Next, the container impedance Z.sub.p is solved for. Z.sub.w and p.sub.0 remain the same. The amplitude of the BB-sweep curve peak 1012 of
[0114] Similarly, the sample impedance Z.sub.f is calculated. Z.sub.p, Z.sub.w, and p.sub.0 remain the same as above. The amplitude of the TBL-sweep curve peak 1122 of
[0115] The values of the container wall impedance Z.sub.p and the sample impedance Z.sub.f can be further refined. By also using the surface reflection amplitude p.sub.SR along with Z.sub.f, Z.sub.p, Z.sub.w, Z.sub.a, and p.sub.0. The amplitude of the SR-sweep curve peak 1142 of
[0116] By using equations 21 to 23, the values for the container wall impedance Z.sub.p and the sample impedance Z.sub.f can be iteratively adjusted to identify the values that best correlate to the bottom of bottom amplitude p.sub.BB, top of bottom amplitude p.sub.TB, and the surface reflection amplitude p.sub.SR.
Acoustic Attenuations of the Container and the Sample
[0117] Acoustic attenuation is a measure of the energy loss of sound as it propagates through a media. Acoustic attenuation is a property of a given medium. Using the techniques described herein, it may be possible to measure the acoustic attenuation of the material of a container 122 (or more simply, a container 122 attenuation). In particular, an additional sweep or set of sweeps described in conjunction with
[0118] To determine the container 122 attenuation, the container 122 may be empty before measurements are takeni.e., the container 122 holds no sample 101. The methods for determining Z.sub.f, Z.sub.p, Z.sub.w, Z.sub.a, T.sub.p, and p.sub.0 may remain the same as described above. The amplitude of the TBL-sweep curve peak 1122 of
[0119] Once ?.sub.p is determined, the acoustic attenuation of the sample 101 may be determined by using p.sub.SR along with Z.sub.f, Z.sub.p, Z.sub.w, Z.sub.a, T.sub.p, and p.sub.0. The amplitude of the SR-sweep curve peak 1142 of
[0120] As used in equations 20 to 22 and 24 to 25 (or otherwise), the values for the bottom of bottom amplitude p.sub.BB, top of bottom amplitude p.sub.TB, and the surface reflection amplitude p.sub.SR may be adjusted to calibrate the measurement instrumentation. Other aspects of the techniques disclosed herein may be calibrated as well for a given measurement system, such as a portion of system 100 (e.g., transducer assembly 110, electronics 140, and/or motors 150). This may be performed by performing measurement(s) with one or more containers and samples, each having known properties as relevant to the techniques described herein. Since the properties of the container(s) and sample(s) are known, the measured characteristic(s) are also known if system 100 is ideal. As is understood, systems are rarely if ever ideal. The predicted measurements may be compared to actual measurements. This may provide calibration informationi.e., information sufficient to calibrate a portion of system 100 (e.g., transducer assembly 110, electronics 140, and/or motors 150). Once a portion of system 100 (e.g., transducer assembly 110, electronics 140, and/or motors 150) is calibrated, no further adjustment may be needed. In an ideal system, it may not be necessary to further adjust the empirically-determined values of p.sub.BB, p.sub.TB, and/or p.sub.SR. However, it may be useful to perform additional adjustment due to possible nonlinearities in the electronics 140 and/or transducer assembly 110 (including transducer 112 and acoustic lens 113), or due to any deviation from plane waves in the focus of the transducer. Thus, the aforementioned peak values (or other values, as will be understood) may be adjusted to account for variations in equipment behavior, performance, or deviance from theory. Calibration information may be used to adjust the operation of system 100 and/or to adjust processing of data generated during the measurement process. Calibration may be performed only once for given parts of system 100, as discussed, or may be performed periodically or occasionally as parts of system 100 age or are moved to different environments.
[0121] Once some or all of the characteristics of the sample 101 and the container 122 have been determined, these can be used by the system to determine parameters for ADE to result in more precise and accurate droplet ejection.
[0122] In some embodiments, a machine learning model employing one or more neural networks may be used to determine parameters for ADE based on the concepts disclosed herein. For example, data associated with waveforms of reflections from sweeps may be used to train a machine learning model (which may be trained using supervised learning, unsupervised learning, etc.), and this trained model may be used to determine ADE parameters. In some embodiments, one or more of the relationships disclosed herein may be inputted as constraints for the machine learning model (e.g., one or more of equations 4, 8, and 13).
[0123] Many of the techniques described herein, as will be understood, may be implemented on or in conjunction with a computer storage product with a non-transitory computer-readable medium (also can be referred to as a non-transitory processor-readable medium) having instructions or computer code thereon for performing various computer-implemented operations. The medium can include one or more distinct media. The code may be executed on one or more processors, such as processor 143. The computer-readable medium (or processor-readable medium) is non-transitory in the sense that it does not include transitory propagating signals per se (e.g., a propagating electromagnetic wave carrying information on a transmission medium such as space or a cable). The media and computer code (also can be referred to as code) may be those designed and constructed for the specific purpose or purposes. Examples of non-transitory computer-readable media include, but are not limited to, magnetic storage media such as hard disks, floppy disks, and magnetic tape; optical storage media such as Compact Disc/Digital Video Discs (CD/DVDs), Compact Disc-Read Only Memories (CD-ROMs), and holographic devices; magneto-optical storage media such as optical disks; carrier wave signal processing modules; and hardware devices that are specially configured to store and execute program code, such as Application-Specific Integrated Circuits (ASICs), Programmable Logic Devices (PLDs), Read-Only Memory (ROM) and Random-Access Memory (RAM) devices. Other embodiments described herein relate to a computer program product, which can include, for example, the instructions and/or computer code discussed herein.
[0124] Some embodiments and/or methods described herein can be performed by software (executed on hardware), hardware (e.g., processor 143), or a combination thereof. Hardware modules may include, for example, a general-purpose processor, a field programmable gate array (FPGA), and/or an application specific integrated circuit (ASIC). Software modules (executed on hardware) can be expressed in a variety of software languages (e.g., computer code), including C, C++, Java?, Ruby, Visual Basic?, and/or other object-oriented, procedural, or other programming language and development tools. Examples of computer code include, but are not limited to, micro-code or micro-instructions, machine instructions, such as produced by a compiler, code used to produce a web service, and files containing higher-level instructions that are executed by a computer using an interpreter. For example, embodiments may be implemented using imperative programming languages (e.g., C, Fortran, etc.), functional programming languages (Haskell, Erlang, etc.), logical programming languages (e.g., Prolog), object-oriented programming languages (e.g., Java, C++, etc.), interpreted languages (JavaScript, typescript, Perl) or other suitable programming languages and/or development tools. Additional examples of computer code include, but are not limited to, control signals, encrypted code, and compressed code.
[0125] It will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the novel techniques disclosed in this application. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the novel techniques without departing from its scope. Therefore, it is intended that the novel techniques not be limited to the particular techniques disclosed, but that they will include all techniques falling within the scope of the appended claims.