The Sensititre® OptiRead™ is intended for use with the Sensititre® MIC or BP Susceptibility Test System. The Sensititre® OptiRead™ is a fluorescence based detection instrument used to read Sensititre® MIC or BP Susceptibility plates. The Sensititre MIC or Breakpoint Susceptibility System is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious Gram negative organisms.
Device Story
OptiRead™ is a fluorescence-based detection instrument for reading Sensititre® MIC or BP Susceptibility plates. Used in clinical laboratory settings to support antimicrobial susceptibility testing. Operation initiated via SWIN software; instrument reads fluorescence values from susceptibility plates; data transferred back to SWIN software for result generation. Assists healthcare providers in determining bacterial susceptibility to antibiotics, informing clinical treatment decisions for patients with non-fastidious Gram-negative infections.
Clinical Evidence
No clinical data provided; device is an automated reader for established in vitro diagnostic susceptibility test systems.
Technological Characteristics
Fluorescence-based fluorimeter; 360nm LED excitation source; photodiode signal detection. Dimensions: 357.5mm x 264mm x 188.5mm. Connectivity: External serial port for calibration; PC-based data transfer. Software: SWIN. Calibration: Internal solid-state block and plate-specific calibration wells. Sterilization: Not applicable (instrument).
Indications for Use
Indicated for clinical susceptibility testing of non-fastidious Gram negative organisms using the Sensititre® MIC or BP Susceptibility Test System. For prescription use only.
Regulatory Classification
Identification
An antimicrobial susceptibility test powder is a device that consists of an antimicrobial drug powder packaged in vials in specified amounts and intended for use in clinical laboratories for determining in vitro susceptibility of bacterial pathogens to these therapeutic agents. Test results are used to determine the antimicrobial agent of choice in the treatment of bacterial diseases.
Submission Summary (Full Text)
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# INSTRUCTION FOR COMPLETING 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
K110583
B. Purpose for Submission:
The purpose of the submission is to obtain 510(k) clearance of the OptiRead™ (Autoreader-2) to replace the existing Autoreader-1.
C. Measurand:
The OptiRead™ (Autoreader2) automatically reads the Sensititre MIC and Breakpoint (BP) Susceptibility test panels and interprets the antimicrobial susceptibility test results for non-fastidious Gram negative rods.
D. Type of Test:
Antimicrobial Susceptibility Test (AST) - Quantitative. The OptiRead™ is an automated fluorescence based detection instrument used to read MIC or breakpoint micro-broth dilution susceptibility plates.
E. Applicant:
TREK Diagnostic Systems
F. Proprietary and Established Names:
Sensititre® OptiRead™
G. Regulatory Information:
1. Regulation section:
21 CFR section 866.1640, Antimicrobial Susceptibility Test Powder.
2. Classification:
Class II
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3. Product code:
LRG
4. Panel:
Microbiology (83)
H. Intended Use:
1. Intended use(s):
The Sensititre® OptiRead™ is intended for use with the Sensititre® MIC or BP Susceptibility Test System. The Sensititre® OptiRead™ is a fluorescence based detection instrument used to read Sensititre® MIC or BP Susceptibility plates for non-fastidious and fastidious Gram positive cocci and non fastidious Gram negative organisms, through the use of dedicated Sensititre® SWIN software. MIC and BP Susceptibility plates can either be read manually or automatically on the Sensititre OptiRead™, Autoreader® or the ARIS® in combination with the Autoreader® or OptiRead™.
NOTE: Please refer to the Sensititre® 18-24 hour MIC or Breakpoint Susceptibility System package insert for additional instructions, limitations and references.
2. Indication(s) for use:
The Sensititre® OptiRead™ is intended for use with the Sensititre® MIC or BP Susceptibility Test System. The Sensititre® OptiRead™ is a fluorescence based detection instrument used to read Sensititre® MIC or BP Susceptibility plates.
The Sensititre MIC or Breakpoint Susceptibility System is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious Gram negative organisms.
NOTE: Please refer to the Sensititre ® 18-24 hour MIC or Breakpoint Susceptibility System package insert or operator's manual for additional instructions, limitations and references.
3. Special conditions for use statement(s):
a. For prescription use only.
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4. Special instrument requirements:
None
I. Device Description:
J. Substantial Equivalence Information:
1. Predicate device name(s):
Sensititre Autoreader1
2. Predicate 510(k) number(s):
N50-531
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Fluorescence-based detection device | Same |
| Isolates | Isolates in pure culture used | Same |
| Sample Preparation | 0.5 McFarland isolate concentration used | Same |
| Reading Environment | Reading occurs in the dark | Same |
| Excitation/Detection Optics | 360nm excitation source filtering with a 450nm bypass dichroic detection filter | Same |
| Calibration Method | Self calibration against a solid, non-drifting calibrator material block, before reading each susceptibility plate | Same |
| Count Range | 0-4096 counts | Same |
| Raw Data Output | Output as a series of microtitre plate well readings along with calibration well readings as comma separated data formatted for input into SWIN software | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Result Reported | Results reported as minimum inhibitory concentration (MIC) value and an interpretation of susceptible, intermediate, or resistant (SIR) | Same |
| Differences | | |
| Item | Device | Predicate |
| Instrument Size | 357.5 mm wide
264 mm deep
188.5 mm high | 419 mm wide
470 mm deep
191 mm high |
| Cycle Speed | 15 seconds | 45 seconds |
| Well Indexing Method | Moveable optics reading stationary microtitre plate from underneath. | Microtitre plate moved mechanically over stationary optics underneath |
| Excitation Source | Flash xenon lamp filtered to a 360 nm wavelength | Light emitting diode, 360 nm wavelength |
| Method of Signal Detection | Photomultiplier tube | Photodiode tube |
K. Standards/Guidance Documents Referenced (if applicable):
- Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test Systems; Guidance for Industry and FDA;
- CLSI M100-S20, Performance Standard for Antimicrobial Susceptibility Testing; Twentieth Informational Supplement;
- CLSI M7-A8, Methods for Dilution Antimicrobial Susceptibility Test for Bacteria that Growth Aerobically; Approved Standard, Eighth Edition.
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L. Test Principle:
The Sensititre MIC or Breakpoint Susceptibility System incorporates the use of 96-well microtitre plates which contain doubling dilutions of specific antimicrobial agents in order to achieve drug concentrations over a specified range. Microtitre plates are inoculated with a fixed concentration of microorganism, covered and incubated. After incubation plates can be read either manually or with automatic plate reader (e.g. OptiRead™).
The Sensititre® System utilized fluorescence technology for the detection of bacterial growth by monitoring the activity of specific surface enzymes produced by the test organism. Growth is determined by generating a fluorescent product from a non-fluorescent (fluorogenic) substrate. The non-fluorescent substrate is prepared by conjugating a fluorescent compound to the specific enzyme substrates with a bond which prevents fluorescence. The fluorophore is then said to be quenched. The substrate can be added to the inoculum broth and dispensed into the test plates at the same time as the test organism or the plates can be prepared with substrate already added to the plate. Enzymatic action of the bacterial surface enzymes on the specific substrates cleaves this bond releasing the fluorophore which is now capable of fluorescing. The amount of fluorescence detected is directly related to the activity of bacterial growth. The MIC is determined by observing the lowest dilution of antimicrobial agent that inhibits growth of the organism.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Gram negative isolates, 25 in total, to include E. coli (6), P. aeruginosa (4), E. cloacae (3), S. marcescens (3), S. maltophilia (2) and A. baumannii (2) were tested. The isolates listed above were tested against the following antibiotics, representative of the major antimicrobial classes: Ampicillin, Ticarcillin, Piperacillin/Tazobactam, Chloramphenicol, Cefazolin, Cefepime, Ceftazidime, Ertapenem, Tetracycline, Levofloxacin, Gentamicin, and Trimethoprim/Sulfamethoxazole.
All isolates were tested once at each of three designated study sites. At each site, susceptibility plates were set up using the Autoinoculator and test results were read using Autoreader1 and the OptiRead™. The percent reproducibility was calculated as the number of isolates whose MICs fall within +/- one doubling dilution of the mode, out of the total number of isolates tested across all three study sites.
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Because a number of antibiotic/organism combinations lacked a sufficient number of on-scale MIC results an additional modified reproducibility study was conducted which included the testing of 10 isolates (with known on-scale results), in triplicate with three different operators; performed on 3 different days; using three separate OptiRead™ instruments.. The antibiotics included, Ticarcillin, Cefazolin, Cefepime, Ceftazidime and Trimethoprim/Sulfamethoxazole.
In summary, the percent reproducibility for all antibiotic/organism combinations tested met the acceptance criteria of >95% based on the "best-case" percent calculation.
b. Linearity/assay reportable range:
Not Applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The FDA and CLSI recommended Quality Control (QC) isolates, to include, E. coli 25922, E. coli 35218, and P. aeruginosa 27853, were included each day of testing.
All QC susceptibility plates were set up using the Autoinoculator and tested using the existing Autoreader1 and the OptiRead™, at each study site.
All QC results fall within acceptable range. A summary of the QC results are shown in the tables below.
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| Table 1. Quality Control
E. coli 25922 | Concentration
(ug/mL) | Autoreader1 | OptiRead™ |
| --- | --- | --- | --- |
| Ampicillin | 2 | 1 | |
| Expected MIC Range | 4 | 59 | 60 |
| 2-8 ug/mL | 8 | | |
| Ticarcillin | 4 | 18 | 16 |
| Expected MIC Range | 8 | 41 | 43 |
| 4-16 ug/mL | 16 | 1 | 1 |
| Piperacillin/Tazobactam | 1/4 | | 1 |
| Expected MIC Range | 2/4 | 60 | 59 |
| 1/4-4/4 ug/mL | 4/4 | | |
| Chloramphenicol | 2 | | |
| Expected MIC Range | 4 | 53 | 56 |
| 2-8 ug/mL | 8 | 7 | 4 |
| Cefazolin | <=1 | 49 | 49 |
| Expected MIC Range | 2 | 11 | 11 |
| 1-4 ug/mL | 4 | | |
| Cefepime | <=0.5 | 60 | 60 |
| Expected MIC Range | | | |
| .015- 0.12 ug/mL | | | |
| Ceftazidime | <=0.25 | 59 | 58 |
| Expected MIC Range | 0.5 | 1 | 2 |
| 0.06 - 0.5 ug/mL | 1 | | |
| | | | |
| Ertapenem | 0.004 | | |
| Expected MIC Range | 0.008 | 60 | 59 |
| 0.004 - 0.015 ug/mL | 0.0015 | | 1 |
| Tetracycline | 0.5 | 1 | |
| Expected MIC Range | 1 | 59 | 60 |
| 0.5 - 2 ug/mL | 2 | | |
| Levofloxacin | 0.008 | | |
| Expected MIC Range | 0.015 | 36 | 55 |
| 0.008 - 0.06 ug/mL | 0.03 | 24 | 5 |
| | 0.06 | | |
| Gentamicin | 0.25 | 3 | 3 |
| Expected MIC Range | 0.5 | 57 | 57 |
| 0.25 - 1 ug/mL | 1 | | |
| Trimethoprim/Sulfamethoxazole | <=0.25/4.75 | 60 | 60 |
| Expected MIC Range | 0.5/9.5 | | |
| <=0.5/9.5 ug/mL | 1/19 | | |
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| Table 2. Quality Control P. aeruginosa 27853 | Concentration (ug/mL) | Autoreader1 | OptiRead™ |
| --- | --- | --- | --- |
| Ticarcillin | 8 | 2 | 2 |
| Expected MIC Range | 16 | 57 | 57 |
| 8-32 ug/mL | 32 | 1 | 1 |
| Piperacillin/Tazobactam | 1 | 2 | 1 |
| Expected MIC Range | 2 | 34 | 47 |
| 1 - 8 ug/mL | 4 | 21 | 10 |
| | 8 | 3 | 2 |
| Cefepime | 1 | 51 | 51 |
| Expected MIC Range | 2 | 5 | 5 |
| 1-8ug/mL | 4 | | |
| | 8 | | |
| Ceftazidime | 1 | 56 | 56 |
| Expected MIC Range | 2 | 4 | 4 |
| 1-4 ug/mL | 4 | | |
| Ertapenem | 2 | 24 | 24 |
| Expected MIC Range | 4 | 36 | 36 |
| 2-8 ug/mL | 8 | | |
| Tetracycline | 8 | 21 | 32 |
| Expected MIC Range | 16 | 39 | 28 |
| 8-32 ug/mL | 32 | | |
| Levofloxacin | 0.5 | 11 | 12 |
| Expected MIC Range | 1 | 49 | 48 |
| 0.5-4ug/mL | 2 | | |
| | 4 | | |
| Gentamicin | 0.5 | 22 | 23 |
| Expected MIC Range | 1 | 38 | 37 |
| 0.5-2 ug/mL | 2 | | |
| Trimethoprim/Sulfamethoxazole | 8/152 | 22 | 2 |
| Expected MIC Range | 16/304 | 37 | 53 |
| 8/132-32/608 ug/mL | 32/608 | 1 | 5 |
| Table 3. Quality Control E. coli 35218 | Concentration (ug/mL) | Autoreader1 | OptiRead™ |
| --- | --- | --- | --- |
| Ampicillin | 32 | | |
| Expected MIC Range >32 ug/mL | >32 | 60 | 60 |
| Piperacillin/Tazobactam | <=0.5/4 | 20 | 19 |
| Expected MIC Range 0.5/4 - 2/4 ug/mL | 1/4 | 9 | 1 |
| | 2/4 | | |
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d. Detection limit:
Not Applicable
e. Analytical specificity:
Not Applicable
f. Assay cut-off:
Not Applicable
2. Comparison studies:
a. Method comparison with predicate device:
The performance of the OptiRead™ was evaluated in a clinical study conducted at three sites. The studies were designed to evaluate the performance of the OptiRead™ compared to the existing Autoreader1 using Sensititre® 18-24 hour susceptibility plates. Specially prepared susceptibility plates containing serial dilutions of select antibiotics representing a range of antimicrobial agent classes were used in the study. Each microorganism suspension was prepared using the Sensititre® Nephelometer. Each plate was inoculated with the prepared microorganism suspension using the Sensititre® Autoinoculator, incubated for 18-24 hours at 35°C, and then read using both the Autoreader1 and the OptiRead™. The MIC results read and interpreted by the Autoreader1 were compared to the MIC results read and interpreted by the Optiread™. The performance criteria described in the Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems were used to evaluate the performance of the OptiRead™.
Clinical testing was performed on a total of (222) Gram negative clinical and challenge isolates to include, E. coli (40), P. aeruginosa (27), Acinetobacter spp. other than A. baumannii (7), Klebsiella spp. (30), Proteus spp. (15), Citrobacter spp. (10) Enterobacter spp. (24), Serratia spp. (20), Burkholderia cepacia (1), Morganella morganii (10), Providencia spp. (10), Pseudomonas species other than P. aeruginosa (13), S. maltophilia (1), A. hydrophila (2), and A. baumannii (12).
The growth rate for the 222 Gram positive clinical and challenge isolates was 99.5%, due to the fact that one of the 27 isolates of P. aeruginosa failed to grow.
The performance evaluations are presented in Table 4.
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| Table 4: Non-fastidious Gram Negative Organisms - Autoreaderi versus OptiRead™ | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Drug | Organism Group | Clinical | Challenge | Total | Total Eval | %EA Total | % EA of Evaluable | %CA | R or NS | min | maj | vmj |
| Ampicillin | Enterobacteriaceae | 104 | 57 | 161 | 61 | 100 | 100 | 100 | 109 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Ticarcillin | A. baumannii | 12 | 0 | 12 | 0 | 100 | na | 100 | 12 | 0 | 0 | 0 |
| | Enterobacteriaceae | 104 | 57 | 161 | 57 | 100 | 100 | 100 | 73 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 16 | 6 | 22 | 10 | 100 | 100 | 100 | 15 | 0 | 0 | 0 |
| | P. aeruginosa | 14 | 12 | 26 | 20 | 100 | 100 | 100 | 9 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Piperacillin/Tazobactam | A. baumannii | 12 | 0 | 12 | 0 | 100 | na | 100 | 12 | 0 | 0 | 0 |
| | Enterobacteriaceae | 104 | 57 | 161 | 111 | 100 | 100 | 100 | 20 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 16 | 6 | 22 | 15 | 100 | 100 | 100 | 3 | 0 | 0 | 0 |
| | P. aeruginosa | 14 | 12 | 26 | 21 | 100 | 100 | 100 | 3 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Chloramphenicol | A. baumannii | 12 | 0 | 12 | 0 | 100 | na | 100 | 12 | 0 | 0 | 0 |
| | Enterobacteriaceae | 104 | 57 | 161 | 125 | 100 | 100 | 98.1 | 49 | 3 | 0 | 0 |
| | Non-Enterobacteriaceae | 16 | 6 | 22 | 13 | 100 | 100 | 100 | 13 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Cefazolin | Enterobacteriaceae | 104 | 57 | 161 | 50 | 100 | 100 | 100 | 82 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Ceftazidime | A. baumannii | 12 | 0 | 12 | 1 | 100 | 100 | 100 | 11 | 0 | 0 | 0 |
| | Enterobacteriaceae | 104 | 57 | 161 | 34 | 100 | 100 | 100 | 28 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 16 | 6 | 22 | 16 | 100 | 100 | 100 | 4 | 0 | 0 | 0 |
| | P. aeruginosa | 14 | 12 | 26 | 18 | 100 | 100 | 100 | 4 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Cefepime | A. baumannii | 12 | 0 | 12 | 4 | 100 | 100 | 91.7 | 8 | 1 | 0 | 0 |
| | Enterobacteriaceae | 104 | 57 | 161 | 29 | 100 | 100 | 100 | 4 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 16 | 6 | 22 | 11 | 95.5 | 90.9 | 95.5 | 3 | 1 | 0 | 0 |
| | P. aeruginosa | 14 | 12 | 26 | 20 | 100 | 100 | 100 | 0 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Ertapenem | Enterobacteriaceae | 104 | 57 | 161 | 155 | 100 | 100 | 100 | 6 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Tetracycline | Enterobacteriaceae | 104 | 57 | 161 | 129 | 100 | 100 | 99.4 | 63 | 1 | 0 | 0 |
| | | | | | | | | | | | | |
| Levofloxacin | Enterobacteriaceae | 104 | 57 | 161 | 139 | 100 | 100 | 100 | 28 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
| Gentamicin | A. baumannii | 12 | 0 | 12 | 3 | 100 | 100 | 100 | 9 | 0 | 0 | 0 |
| | Enterobacteriaceae | 104 | 57 | 161 | 146 | 100 | 100 | 100 | 14 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 16 | 6 | 22 | 13 | 100 | 100 | 100 | 5 | 0 | 0 | 0 |
| | P. aeruginosa | 14 | 12 | 26 | 18 | 100 | 100 | 100 | 8 | 0 | 0 | 0 |
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| Table 4: Non-fastidious Gram Negative Organisms - Autoreader1 versus OptiRead™ con't. | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Drug | Organism Group | Clinical | Challenge | Total | Total Eval | %EA Total | % EA of Evaluable | %CA | R or NS | min | maj | vmj |
| | A. baumannii | 12 | 0 | 12 | 6 | 100 | 100 | 100 | 11 | 0 | 0 | 0 |
| Table 5: Non-fastidious Gram Negative Organisms - Autoreader1 versus ARIS® - OptiRead® | | | | | | | | | | | | |
| SXT | Non-Enterobacteriaceae | 16 | 6 | 22 | 9 | 100 | 100 | 100 | 7 | 0 | 0 | 0 |
| | | | | | | | | | | | | |
EA – Essential Agreement
CA – Category Agreement
R – Resistant isolates
NS – Not Susceptible isolates
maj – major discrepancies
vmj – very major discrepancies
min – minor discrepancies
Essential Agreement (EA) is when there is agreement between the MIC result read/interpreted using the current Autoreader1 and MIC result read/interpreted using the new OptiRead™ within plus or minus one serial two-fold dilution. Category agreement (CA) is when the OptiRead™ MIC result interpretation agrees exactly with the Autoreader1 MIC result interpretation. Evaluable EA is when the MIC result for both the OptiRead™ and the Autoreader1 are on-scale.
The %EA is acceptable when compared to the reference method as described in the FDA guidance document, “Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) System; Guidance for Industry and FDA”.
Overall, the MIC results of the Autoreader1 and the OptiRead™ were very similar, for all antibiotics tested. The %EA and %CA for each microorganism group/antibiotic combination were greater than 90%.
To support a claim for the use of the OptiRead™ in combination with the ARIS® instrument, an automated bench-top incubating and reading system, additional quality control testing was conducted, daily over a period of 20 days for a total of 20 repetitions for each representative antibiotic. In addition, testing was conducted using the following QC isolates E. coli 25922, E. coli 35218 and P. aeruginosa 27853.
In addition to the quality control testing, challenge isolate testing, for non-fastidious Gram negative isolates, was conducted in support of the claim. Non-fastidious Gram negative rods, 75 in total, which included E. coli (9), P. aeruginosa (12), Acinetobacter spp. other than A. baumannii (6), Klebsiella spp. (15), Proteus spp. (6), Enterobacter spp. (9), Serratia spp. (10), M. morganii (1), Providencia spp. (5), and Aeromonas hydrophila (2), were tested. The isolates were tested against the following antibiotics representative of the major antimicrobial classes: Ampicillin, Ticarcillin, Piperacillin/Tazobactam, Chloramphenicol, Ceftazidime, Cefepime, Cefazolin, Ertapenem, Tetracycline, Levofloxacin, Gentamicin, and Trimethoprim/Sulfamethoxazole. The results of the challenge isolate performance testing and quality control are presented in Tables 5-8.
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| Drug | Organism Group | Challenge | Total | Total Eval | %EA Total | % EA of Evaluable | %CA | R or NS | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Ampicillin | Enterobacteriaceae | 57 | 57 | 14 | 100 | 100 | 98.2 | 47 | 1 | 0 | 0 |
| | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 17 | 100 | 100 | 100 | 35 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 5 | 100 | 100 | 100 | 3 | 0 | 0 | 0 |
| | P. aeruginosa | 12 | 12 | 9 | 100 | 100 | 100 | 5 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Piperacillin/ Tazobactam | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 38 | 98.2 | 97.4 | 98.2 | 11 | 1 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 2 | 100 | 100 | 100 | 1 | 0 | 0 | 0 |
| | P. aeruginosa | 12 | 12 | 11 | 100 | 100 | 100 | 0 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Chloramphenicol | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 40 | 100 | 100 | 98.2 | 22 | 1 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 5 | 100 | 100 | 100 | 2 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Cefazolin | Enterobacteriaceae | 57 | 57 | 20 | 100 | 100 | 100 | 33 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Ceftazidime | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 16 | 100 | 100 | 100 | 12 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 5 | 100 | 100 | 100 | 1 | 0 | 0 | 0 |
| | P. aeruginosa | 12 | 12 | 9 | 100 | 100 | 100 | 1 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Cefepime | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 19 | 100 | 100 | 100 | 0 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 1 | 100 | 100 | 100 | 1 | 0 | 0 | 0 |
| | P. aeruginosa | 12 | 12 | 8 | 100 | 100 | 100 | 0 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Ertapenem | Enterobacteriaceae | 57 | 57 | 56 | 100 | 100 | 100 | 1 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Tetracycline | Enterobacteriaceae | 57 | 57 | 41 | 100 | 100 | 96.5 | 30 | 2 | 0 | 0 |
| | | | | | | | | | | | |
| Levofloxacin | Enterobacteriaceae | 57 | 57 | 54 | 100 | 100 | 100 | 6 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Gentamicin | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 49 | 100 | 100 | 98.2 | 6 | 1 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 4 | 100 | 100 | 100 | 1 | 0 | 0 | 0 |
| | P. aeruginosa | 12 | 12 | 7 | 100 | 100 | 100 | 5 | 0 | 0 | 0 |
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| Table 5: Non-fastidious Gram Negative Organisms - Autoreaderi versus ARIS® - OptiRead™ con't. | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Drug | Organism Group | Challenge | Total | Total Eval | %EA Total | % EA of Evaluable | %CA | R or NS | min | maj | vmj |
| SXT | A. baumannii | 0 | 0 | 0 | na | na | na | 0 | 0 | 0 | 0 |
| | Enterobacteriaceae | 57 | 57 | 15 | 100 | 100 | 100 | 6 | 0 | 0 | 0 |
| | Non-Enterobacteriaceae | 6 | 6 | 0 | 100 | na | 100 | 1 | 0 | 0 | 0 |
| | | | | | | | | | | | |
| Table 6. Quality Control E. coli 25922 | Concentration (ug/mL) | Autoreaderi | ARIS® - OptiRead™ |
| --- | --- | --- | --- |
| Ampicillin | 2 | 1 | 1 |
| Expected MIC Range | 4 | 19 | 19 |
| 2-8 ug/mL | 8 | | |
| Ticarcillin | 4 | 3 | 3 |
| Expected MIC Range | 8 | 16 | 16 |
| 4-16 ug/mL | 16 | 1 | 1 |
| Piperacillin/Tazobactam | 1/4 | | |
| Expected MIC Range | 2/4 | 20 | 20 |
| 1/4-4/4 ug/mL | 4/4 | | |
| Chloramphenicol | 2 | | |
| Expected MIC Range | 4 | 18 | 18 |
| 2-8 ug/mL | 8 | 2 | 2 |
| Cefazolin | <=1 | 10 | 12 |
| Expected MIC Range | 2 | 10 | 8 |
| 1-4 ug/mL | 4 | | |
| Cefepime | <=0.5 | 20 | 20 |
| Expected MIC Range .015- 0.12 ug/mL | | | |
| Ceftazidime | <=0.25 | 20 | 20 |
| Expected MIC Range | 0.5 | | |
| 0.06 - 0.5 ug/mL | 1 | | |
| | | | |
| Ertapenem | 0.004 | | |
| Expected MIC Range | 0.008 | 20 | 20 |
| 0.004 - 0.015 ug/mL | 0.0015 | | |
| Tetracycline | 0.5 | | |
| Expected MIC Range | 1 | 20 | 20 |
| 0.5 - 2 ug/mL | 2 | | |
| Levofloxacin | 0.008 | | |
| Expected MIC Range | 0.015 | 18 | 18 |
| 0.008 - 0.06 ug/mL | 0.03 | 2 | 2 |
| | 0.06 | | |
| Gentamicin | 0.25 | | |
| Expected MIC Range | 0.5 | 16 | 16 |
| 0.25 - 1 ug/mL | 1 | 4 | 4 |
| Trimethoprim/Sulfamethoxazole | <=0.25/4.75 | 20 | 20 |
| Expected MIC Range | 0.5/9.5 | | |
| <=0.5/9.5 ug/mL | 1/19 | | |
{13}
| Table 7. Quality Control P. aeruginosa 27853 | Concentration (ug/mL) | Autoreader1 | ARIS® - OptiRead™ |
| --- | --- | --- | --- |
| Ticarcillin | 8 | | |
| Expected MIC Range | 16 | 18 | 19 |
| 8-32 ug/mL | 32 | 2 | 1 |
| Piperacillin/Tazobactam | 1/4 | | |
| Expected MIC Range | 2/4 | 9 | 3 |
| 1/4 - 8/4 ug/mL | 4/4 | 9 | 15 |
| | 8/4 | 2 | 2 |
| Cefepime | 1 | 18 | 19 |
| Expected MIC Range | 2 | 2 | 1 |
| 1-8ug/mL | 4 | | |
| | 8 | | |
| Ceftazidime | 1 | 19 | 19 |
| Expected MIC Range | 2 | 1 | 1 |
| 1-4 ug/mL | 4 | | |
| Ertapenem | 2 | 1 | 2 |
| Expected MIC Range | 4 | 19 | 18 |
| 2-8 ug/mL | 8 | | |
| Tetracycline | 8 | 16 | 20 |
| Expected MIC Range | 16 | 4 | |
| 8-32 ug/mL | 32 | | |
| Levofloxacin | 0.5 | 12 | 13 |
| Expected MIC Range | 1 | 8 | 7 |
| 0.5-4ug/mL | 2 | | |
| | 4 | | |
| Gentamicin | 0.5 | 3 | 6 |
| Expected MIC Range | 1 | 17 | 14 |
| 0.5-2 ug/mL | 2 | | |
| Trimethoprim/Sulfamethoxazole | 8/152 | | 2 |
| Expected MIC Range | 16/304 | 20 | 18 |
| 8/132-32/608 ug/mL | 32/608 | | |
| Table 8. Quality Control E. coli 35218 | Concentration (ug/mL) | Autoreader1 | ARIS® - OptiRead™ |
| --- | --- | --- | --- |
| Ampicillin | 32 | | |
| Expected MIC Range >32 ug/mL | >32 | 20 | 20 |
| Piperacillin/Tazobactam | <=0.5/4 | 13 | 11 |
| Expected MIC Range | 1/4 | 7 | 9 |
| 0.5/4 - 2/4 ug/mL | 2/4 | | |
Essential Agreement (EA) is when there is agreement between the MIC result read/interpreted using the current Autoreader1 and MIC result read/interpreted using the new OptiRead™ in combination with the ARIS® within plus or minus one serial two-fold dilution. Category agreement (CA) is when the ARIS®-OptiRead™ MIC result interpretation agrees exactly with the Autoreader1 MIC result interpretation. Evaluable EA is when the MIC result for both the ARIS®-OptiRead™ and the Autoreader1 are on-scale.
{14}
The %EA is acceptable when compared to the reference method as described in the FDA guidance document, “Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) System; Guidance for Industry and FDA”.
Overall, the MIC results of the Autoreader1 and the ARIS®-OptiRead™ were very similar, for all antibiotics tested. The %EA and %CA for all microorganism group/antibiotic combination were greater than 90%. All QC results fall within acceptable range.
A study was conducted to demonstrate the performance of the OptiRead™ and the OptiRead™ in combination with the ARIS® in reading the Sensititre ESBL Confirmatory Test plates. The study included total of 25 isolates of E. coli and Klebsiella spp. ESBL producers using the ESBL Confirmatory Test plate. Each ESBL plate was read using the Autoreader1, the OptiRead™ and the OptiRead™ in combination with the ARIS®. The susceptibility results obtained using each reader were compared and found to be identical for all organisms tested. Quality control isolates E. coli 25922 and K. pneumoniae 700603 were also included in the study. The results were all within acceptable range.
b. Matrix comparison:
Not Applicable
3. Clinical studies:
a. Clinical Sensitivity:
Not Applicable
b. Clinical specificity:
Not Applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not Applicable
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
Not Applicable
{15}
16
N. Instrument Name:
TREK Diagnostic Systems; Sensititre® OptiRead™
O. System Descriptions:
1. Modes of Operation:
The OptiRead™ is a dedicated microtitre plate reader linked to a computer running the Sensititre® SWIN software. The OptiRead™, a single excitation/detection wavelength fluorimeter, is a fluorescence based detection system used to read Sensititre® MIC or BP Susceptibility plates. The system uses a 360nm wavelength light emitting diode (LED) to excite the sample within each microtitre plate well. The excitation/emission light from each well is then collected using a photodiode. The microtitre plate is held on the OptiRead™ and each well is individually read by the optics positioned beneath the plate. The X-Y movement of the optics is controlled by the OptiRead™ firmware which responds to commands sent by the host computer. The data of each microtitre plate well is outputted to a personal computer (PC) as comma separated data which is formatted for input into the SWIN software.
2. Software:
Sensititre® MIC or BP Susceptibility plate reading is initiated via the SWIN software on an external PC and the data from the OptiRead™ is then transferred back to the SWIN software where the results are generated.
The Hazard Analysis and Software Documentation has been reviewed and determined to be adequate.
3. Specimen Identification:
Sensititre® MIC or BP Susceptibility plates are scanned into SWIN. In addition, the specimen identification is typed into SWIN.
4. Specimen Sampling and Handling:
Sensititre® MIC or BP Susceptibility plates inoculated with pure cultures are manually placed into the panel holder of the OptiRead™ instrument.
5. Calibration and Quality Control:
OptiRead™ is initially calibrated at the factory. The calibration requires that the plate corner well locations are identified using a dedicated calibration software
{16}
tool which communicates with the OptiRead™ via the instrument's external serial port. The instrument's optics package is driven to automatically locate the corner well locations by identifying the point of peak signal. These corner well locations are then used to calculate the remaining well locations, all of which are recorded as calibration points within the instrument. Further instrument verification and quality control of both the mechanical and reading systems of the OptiRead™ are performed by means of nine tests using a standardized solution.
In addition the OptiRead™ conducts an automatic calibration of the excitation/detection optics and accompanying electronics before every plate read. More specifically, for antimicrobial susceptibility testing the OptiRead™ calibrates against a calibration well included in each microtitre plate panel; for identification, the OptiRead™ calibrates against a solid state calibration block located with the instrument itself.
In support of ongoing quality control management the OptiRead™ is checked annually by a trained Trek field service engineer, in accordance with the instrument preventative maintenance schedule, to ensure maintenance of the device calibration and performance. The field service engineer uses a software tool which calibrates/verifies instrument operation including calibration quality of plate corner locations.
The OptiRead™ is also equipped with a number of error notifications which are designed to pick up problems with the quality of the instrument readings during regular every day use. For example, the OptiRead™ will automatically halt a plate reading and display an error notification when the motion of the drive system used to index the optics package becomes restricted by a foreign object. Additionally, error notifications specific to the reading system calibration are also present, such that if acceptable calibration is not achieved, which could lead to compromised quality of plate read results, the instrument plate read will be halted and an error notification will be displayed.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In the "Performance Characteristics" Section above:
Not Applicable
Q. Proposed Labeling
A full labeling review has been conducted and the requirements as described in 21 CFR 809.10 have been met.
R. Conclusion:
The submitted information in the premarket notification is complete and supports a substantial equivalence decision.
17
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.