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Texas Instruments step down buck converter
Step Down Buck Converter, supplied by Texas Instruments, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/converter/buck+converter/pm42278771-120-27-31
Average 86 stars, based on 1 article reviews
step down buck converter - by Bioz Stars, 2026-10
86/100 stars

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Related Articles

ECG signal acquisition:

Article Title: Development and Pilot Evaluation of a Wearable 12-Lead ECG System for Multilead Feature Analysis in Individuals with Different Glycemic Status.
Article Snippet: .. Figure 2 illustrates a functional block diagram of the ECG system. https://doi.org/10.3390/s26051598 The signal acquisition core of the system is based on the ADS1298 analog-to-digital converter (Texas Instruments, Dallas, TX, USA), featuring a 24-bit resolution and a sampling rate of at least 1000 Hz. ..

analog-to-digital conversion:

Article Title: Optical emission spectroscopy for time-resolved characterization of electron cyclotron resonance ion source plasma properties.
Article Snippet: The photocurrent from the PMT is converted to a voltage signal using the Stanford Research Systems SR570 preamplifier and then digitized by a custom-built data acquisition (DAQ) system employing a Texas Instruments ADS8691 analog-to-digital converter (ADC).

data acquisition:

Article Title: Informer–UNet: A Hybrid Deep Learning Framework for Multi-Point Soil Moisture Prediction and Precision Irrigation in Winter Wheat
Article Snippet: .. Building on this foundation, the hardware leverages the Raspberry Pi’s GPIO interface paired with an ADS1115 16-bit analog-to-digital converter, Texas Instruments, Dallas, TX, USA, supporting up to eight channels for parallel 1 Hz sampling—ideal for capturing real-time soil moisture fluctuations—while a 30 min interval strikes a balance between resolution and storage efficiency. .. For communication, the system incorporates an ESP8266 Wi-Fi module at 2.4 GHz, https://doi.org/10.3390/agriculture16060648 offering low-power operation and a 100 m range, with data uploaded via the MQTT protocol to maintain reliability amid fluctuating networks.

radiometric capacitive measurement:

Article Title: Electrochemical pre-concentration for improved detection of gaseous species in water
Article Snippet: .. Ammonium formed in the trap chamber was detected using a radiometric capacitive measurement collected from a discrete 28-bit capacitance-to-digital converter with a noise-floor of 0.3 femtofarad (FDC2214, Texas Instruments, Dallas, TX). ..

capacitive performance testing:

Article Title: Highly Robust and Multimodal PVA/Aramid Nanofiber/MXene Organogel Sensors for Advanced Human–Machine Interfaces
Article Snippet: .. The capacitive performance of the pressure sensor was tested by FDC2214 (Texas Instruments, Dallas, TX, USA)capacitance-to-digital converter coupled with Instron 5969 (Instron, Norwood, MA, USA) universal testing machine (room temperature). ..

other:

Article Title: Mobile lighting system and platform
Article Snippet: Component Manufacturer Function in System IRF7413 Infineon (formerly N-channel MOSFET used International Rectifier) in power path switching SI4431 Vishay Siliconix P-channel MOSFET used in an ideal diode or switching configuration BT136 NXP Semiconductors; TRIAC used for AC power STMicroelectronics switching BQ27441 Texas Instruments Battery fuel gauge for SoC monitoring PC814 Sharp; Everlight Opto-isolator for AC detection HCPL-817 Broadcom (formerly Opto-isolator for AC Avago) detection STM32G0 STMicroelectronics Microcontroller used for system control PY32F002B Puya Semiconductor Alternative microcontroller for cost- optimized builds TPS2121 Texas Instruments Automatic power MUX for input switching MP2359 MPS (Monolithic Power Synchronous buck Systems) converter for LED current regulation TPS62125 Texas Instruments Step-down converter for LED regulation STUSB4500 STMicroelectronics USB Power Delivery sink controller IP2726 Injoinic Technology USB PD protocol controller MP2759 MPS (Monolithic Power USB-C buck/boost charger Systems) for PD output TPS25750 Texas Instruments USB PD controller with integrated power path FUSB302B Onsemi (formerly USB PD controller Fairchild Semiconductor) FSUSB242 Onsemi USB MUX for signal routing LTC4412 Analog Devices (formerly Ideal diode controller Linear Technology) TPS22976 Texas Instruments Load switch with protection BQ24133 Texas Instruments Solar-compatible battery charger CN3791 Consonance Electronics MPPT solar charger controller LT3652 Analog Devices (formerly MPPT charger for solar Linear Technology) input BQ25570 Texas Instruments Ultra-low power MPPT charger TPS22990 Texas Instruments Load switch used with hot-swapping HC-SR505 Various (Generic/OEM) PIR motion sensor EKMC1601111 Panasonic PIR motion sensor Although the disclosed method and apparatus are described above in terms of various examples of embodiments and implementations, it should be understood that the particular features, aspects and functionality described in one or more of the individual embodiments are not limited in their applicability to the particular embodiment with which they are described.



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Storing desired surface data (denoted as ‘statistics’ in the <t>Imaris</t> software) for further analysis (A) Store data for individual surfaces by selecting surface of choice, VGLUT2 (B) Select ‘Statistics’ graph icons and select save icon to ‘Export Statistics on Tabs Display to <t>File’.</t> To store data for all surface objects (C) Select ‘Scene’ folder then select ‘Statistics’ graphs icon (D) Select ‘Detailed’ tab and select ‘Average Values’ in drop down menu to save mean values for all selected surface statistics.
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Image Search Results


Storing desired surface data (denoted as ‘statistics’ in the Imaris software) for further analysis (A) Store data for individual surfaces by selecting surface of choice, VGLUT2 (B) Select ‘Statistics’ graph icons and select save icon to ‘Export Statistics on Tabs Display to File’. To store data for all surface objects (C) Select ‘Scene’ folder then select ‘Statistics’ graphs icon (D) Select ‘Detailed’ tab and select ‘Average Values’ in drop down menu to save mean values for all selected surface statistics.

Journal: STAR Protocols

Article Title: Protocol to study synapse density or volume—SynDOVE—in brain using confocal microscopy and Imaris three-dimensional surface rendering software

doi: 10.1016/j.xpro.2026.104465

Figure Lengend Snippet: Storing desired surface data (denoted as ‘statistics’ in the Imaris software) for further analysis (A) Store data for individual surfaces by selecting surface of choice, VGLUT2 (B) Select ‘Statistics’ graph icons and select save icon to ‘Export Statistics on Tabs Display to File’. To store data for all surface objects (C) Select ‘Scene’ folder then select ‘Statistics’ graphs icon (D) Select ‘Detailed’ tab and select ‘Average Values’ in drop down menu to save mean values for all selected surface statistics.

Article Snippet: • Open Imaris File Converter and add original deconvolved file to input/output prompt.

Techniques: Software

Resolving issue with file corruption (A) Corrupt file added to the input/output prompt in Imaris File Converter. (B) After selecting ‘Start All’ in software, a new file without corruption will automatically appear in Imaris Arena.

Journal: STAR Protocols

Article Title: Protocol to study synapse density or volume—SynDOVE—in brain using confocal microscopy and Imaris three-dimensional surface rendering software

doi: 10.1016/j.xpro.2026.104465

Figure Lengend Snippet: Resolving issue with file corruption (A) Corrupt file added to the input/output prompt in Imaris File Converter. (B) After selecting ‘Start All’ in software, a new file without corruption will automatically appear in Imaris Arena.

Article Snippet: • Open Imaris File Converter and add original deconvolved file to input/output prompt.

Techniques: Software