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Hardware assembly of the FTIR sample preparation robot.

Hardware assembly of the FTIR sample preparation robot.

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Article
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Manual preparation of fungal samples for Fourier Transform Infrared (FTIR) spectroscopy involves sample washing, homogenization, concentration and spotting, which requires time-consuming and repetitive operations, making it unsuitable for screening studies. This paper presents the design and development of a fully automated robot for the preparatio...

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... enable the robot to perform different tasks independently, such as sample homogenization, sample spotting, washing and concentration, we used the concept of modular design for the system development. As shown in Fig. 1, the developed platform is an integration of three modules, namely ultrasonication robot module, centrifuge module and liquid handling module. Each module is able to be operated independently and they can also form a complete system for the full process preparation of fungal samples for FTIR spectroscopy. The machine vision system ...
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... suspension for sample spotting on 384-well IR plates (Bruker Optik GmbH, Germany). In the previous work, we introduced an ultrasonication robot that can provide desired homogeneity of filamentous fungal cell suspension [9]. The robot uses machine vision to screen sample wells and measure the level of fungi homogeneity. In this work, as shown in Fig. 1 and Fig. 7, the ultrasonication robot module was integrated into the sample preparation system for FTIR spectroscopy without hardware modifications. In order to integrate with the other modules, the controller of the ultrasonication robot module (Raspberry Pi 3) was installed with an open-source system Ubuntu MATE to run the software ...
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... shown in Fig. 1, the liquid handling module comprises the right arm (Arm 2) of the dual-arm system, an 8-channel syringe pump (Cavro XMP 6000; TECAN, Switzerland), an electronic pipette (P50; Opentrons, USA), an RGB camera (See3CAM_CU135; e-co systems, USA), a custom-made wash station and a well plate shaker (MicroPlate Genie; Scientific Industries, ...
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... were defined as True Positive (TP) and False Positive (FP), respectively. Undetected objects were marked as False Negative (FN). Then, precision is defined as TP over the sum of TP and FP, while recall is TP over the sum of TP and FN. By varying confidence threshold, the precision-recall curves of the four classes are obtained and shown in Fig. 10. The IoU threshold for the evaluation is the same to the real application (Eq. 1, 0.5). All the four classes show both high precision and recall. High precision and recall represent that most of the objects have been detected and most of the detection results are correct. Further, the average precision of the detection is shown in ...
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... -namely, Mucor circinelloides VI 04473 (Norwegian School of Veterinary Science, Norway) using the same cultivation method as it was described in the previous work [9]. There were 24 wells of samples for each MTP plate, so it created 72 spots on the IR plates. After spotting, the IR plates were dried and scanned to measure the spotting accuracy. Fig. 12 shows the scanned picture of the IR plates and the accuracy measurement method. Generally, the dried samples of fungi on the spots are homogeneous and the spots are located in the center of the well limit circles on the IR plates. As it can be seen in the right enlarged picture, we manually labelled the inner circle of the well limits ...
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... measurement results of two IR plates are shown in Fig. 11a. It can be seen that the positional error test revealed a near normal distribution, indicating that the results seem reliable. Most of the positional errors are located between 0.3 to 0.5 mm, with a mean of 0.36 mm and a 0.15 mm standard deviation. The positional error is mainly caused by the picking up of the pipette tips, because the ...
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... the equation means that the coverage is the overlap area between the blue circle (S blue ) the nearest red circle (S red ) over the red circle (S red ). The coverage rates of two IR plates are shown in Fig. 11b, which indicates that most of the coverage rates are around 0.97 (mean ) with minimum value at 0.81. Our practical experience on the coverage rate suggests a minimum value of 0.8, which means that the system can provide desired samples spots for FTIR analysis. We also recorded the execution time of each procedure for the two tests (one ...
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... at 0.81. Our practical experience on the coverage rate suggests a minimum value of 0.8, which means that the system can provide desired samples spots for FTIR analysis. We also recorded the execution time of each procedure for the two tests (one MTP plate and two MTP plates). The working sequence together with the processing time is displayed in Fig. 13. For two MTP plates (blue blocks), the whole processing time was 942 minutes, during which ultrasonication (c and f) took up most of the time (78.6%) followed by washing of the two MTP plates (12%). In two-MTP mode, the final stage of sample washing (b) and ultrasonication of MTP plate 1 (c) have been processed ...
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... samples using a high-throughput screening spectrometer (HTS-XT; Bruker Optik GmbH, Germany). We extracted the Amide I (using wavenumber of 1650 cm −1 ) absorbance data from the spectra. According to the OPUS Quality Test (OPUS QT) -a standard quality test for FTIR spectra, the absorbance at Amide I band should be in a range 0.3 -1.2. As shown in Fig. 14, 46% of the absorbance in the raw spectra (blue line) is below 0.3. By using the Extended Multiplicative Signal Correction (EMSC) method [22], we can correct the differences in absorbance and obtained the red line. With comparison to the spot coverage rate (green line), we did not find the spot coverage rate has significant influence on the ...
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... enable the robot to perform different tasks independently, such as sample homogenization, sample spotting, washing and concentration, we used the concept of modular design for the system development. As shown in Fig. 1, the developed platform is an integration of three modules, namely ultrasonication robot module, centrifuge module and liquid handling module. Each module is able to be operated independently and they can also form a complete system for the full process preparation of fungal samples for FTIR spectroscopy. The machine vision system ...
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... suspension for sample spotting on 384-well IR plates (Bruker Optik GmbH, Germany). In the previous work, we introduced an ultrasonication robot that can provide desired homogeneity of filamentous fungal cell suspension [9]. The robot uses machine vision to screen sample wells and measure the level of fungi homogeneity. In this work, as shown in Fig. 1 and Fig. 7, the ultrasonication robot module was integrated into the sample preparation system for FTIR spectroscopy without hardware modifications. In order to integrate with the other modules, the controller of the ultrasonication robot module (Raspberry Pi 3) was installed with an open-source system Ubuntu MATE to run the software ...
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... shown in Fig. 1, the liquid handling module comprises the right arm (Arm 2) of the dual-arm system, an 8-channel syringe pump (Cavro XMP 6000; TECAN, Switzerland), an electronic pipette (P50; Opentrons, USA), an RGB camera (See3CAM_CU135; e-co systems, USA), a custom-made wash station and a well plate shaker (MicroPlate Genie; Scientific Industries, ...
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... varying confidence threshold, the precision-recall curves of the four classes are obtained and shown in Fig. 10. The IoU threshold for the evaluation is the same to the real application (Eq. 1, 0.5). All the four classes show both high precision and recall. High precision and recall represent that most of the objects have been detected and most of the detection results are correct. Further, the average precision of the detection is shown in ...
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... -namely, Mucor circinelloides VI 04473 (Norwegian School of Veterinary Science, Norway) using the same cultivation method as it was described in the previous work [9]. There were 24 wells of samples for each MTP plate, so it created 72 spots on the IR plates. After spotting, the IR plates were dried and scanned to measure the spotting accuracy. Fig. 12 shows the scanned picture of the IR plates and the accuracy measurement method. Generally, the dried samples of fungi on the spots are homogeneous and the spots are located in the center of the well limit circles on the IR plates. As it can be seen in the right enlarged picture, we manually labelled the inner circle of the well limits ...
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... The distance between the centroid of the blue circle and the centroid of the nearest red circle relates to the positional error of the pipette tip. To find the nearest red circle, each blue circle was compared to all the red circles and the minimum distance value returns the nearest circle. The measurement results of two IR plates are shown in Fig. 11a. It can be seen that the positional error test revealed a near normal distribution, indicating that the results seem reliable. Most of the positional errors are located between 0.3 to 0.5 mm, with a mean of 0.36 mm and a 0.15 mm standard deviation. The positional error is mainly caused by the picking up of the pipette tips, because the ...
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... the equation means that the coverage is the overlap area between the blue circle (S blue ) the nearest red circle (S red ) over the red circle (S red ). The coverage rates of two IR plates are shown in Fig. 11b, which indicates that most of the coverage rates are around 0.97 (mean ) with minimum value at 0.81. Our practical experience on the coverage rate suggests a minimum value of 0.8, which means that the system can provide desired samples spots for FTIR ...
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... also recorded the execution time of each procedure for the two tests (one MTP plate and two MTP plates). The working sequence together with the processing time is displayed in Fig. 13. For two MTP plates (blue blocks), the whole processing time was 942 minutes, during which ultrasonication (c and f) took up most of the time (78.6%) followed by washing of the two MTP plates (12%). In two-MTP mode, the final stage of sample washing (b) and ultrasonication of MTP plate 1 (c) have been processed simultaneously. The ...
Context 18
... samples using a high-throughput screening spectrometer (HTS-XT; Bruker Optik GmbH, Germany). We extracted the Amide I (using wavenumber of 1650 cm −1 ) absorbance data from the spectra. According to the OPUS Quality Test (OPUS QT) -a standard quality test for FTIR spectra, the absorbance at Amide I band should be in a range 0.3 -1.2. As shown in Fig. 14, 46% of the absorbance in the raw spectra (blue line) is below 0.3. By using the Extended Multiplicative Signal Correction (EMSC) method [22], we can correct the differences in absorbance and obtained the red line. With comparison to the spot coverage rate (green line), we did not find the spot coverage rate has significant influence ...

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