Energy Harvesting‐Storage Bracelet Incorporating Electrochemical Microsupercapacitors Self‐Charged from a Single Hand Gesture

The development of wearable electronics and sensing networks has increased the demand for wearable power modules that have steady output, high energy density, and long cycle life. Current power modules, such as batteries, suffer from low energy density due to their limited storage capacity. One solution to avoid the issue is to build a hybrid device consisting of both energy harvesting elements that continuously harvest ambient mechanical energy, and electrochemical energy storage units to store the harvested energy. Here, a hybrid energy harvesting bracelet, which combines a dual electromagnetic and triboelectric nanogenerator to harvest wrist motions, is reported. The bracelet is able to charge the RuO₂‐based microsupercapacitor to 2 V with a single shake of human wrist, which allows the supercapacitor to power most electronic devices for minutes, such as a calculator, relative humidity, and temperature sensors.     

Pattern recognition: a useful tool in technological processes

The introduced method of pattern recognition is a tool for on line control purposes. It is based on the detection of complex states of (bio-)technological processes.The process data are treated in a comprehensive way which allows the formulation and detection of interrelations between different signals. Not only single signals rather than a multiple set defines the state of a process (more) completely. This allows to perform advanced control of the physiological state of a population and additionally the on line supervision of the technical equipment.Differences in absolute values between corresponding states do not impair the inter-signal associations seriously if the general character of the trajectories remains unchanged. Hence, this approach is very similar to a human view of processes and is suited to serve in expert systems.First results are shown concerning stability of the recognition procedure and a practical approach is introduced performing the automatic detection of defective sensors.     

Validated multi‐step approach for in vivo recording and analysis of optogenetically evoked glutamate in the mouse globus pallidus

Precise quantification of extracellular glutamate concentrations upon neuronal activation is crucial for the understanding of brain function and neurological disorders. While optogenetics is an outstanding method for the correlation between distinct neurons and their role in circuitry and behavior, the electrochemically inactive nature of glutamate has proven challenging for recording upon optogenetic stimulations. This difficulty is due to the necessity for using enzyme‐coated microelectrodes and the risk for light‐induced artifacts. In this study, we establish a method for the combination of in vivo optogenetic stimulation with selective measurement of glutamate concentrations using enzyme‐coated multielectrode arrays and amperometry. The glutamatergic subthalamic nucleus (STN ), which is the main electrode target site in deep brain stimulation treatment of advanced Parkinson′s disease, has recently proven opotogenetically targetable in Pitx2‐Cre‐transgenic mice and was here used as model system. Upon stereotactic injection of viral Channelrhodopsin2‐eYFP constructs into the STN , amperometric recordings were performed at a range of optogenetic stimulation frequencies in the globus pallidus, the main STN target area, in anesthetized mice. Accurate quantification was enabled through a multi‐step analysis approach based on self‐referencing microelectrodes and repetition of the experimental protocol at two holding potentials, which allowed for the identification, isolation and removal of photoelectric and photoelectrochemical artifacts. This study advances the field of in vivo glutamate detection with combined optogenetics and amperometric recordings by providing a validated analysis framework for application in a wide variety of glutamate‐based approaches in neuroscience.

     

Exchange of the Coronavirus Replicase Polyprotein Cleavage Sites Alters Protease Specificity and Processing

Coronavirus nonstructural proteins 1 to 3 are processed by one or two papain-like proteases (PLP1 and PLP2) at specific cleavage sites (CS1 to -3). Murine hepatitis virus (MHV) PLP2 and orthologs recognize and cleave at a position following a p4-Leu-X-Gly-Gly-p1 tetrapeptide, but it is unknown whether these residues are sufficient to result in processing by PLP2 at sites normally cleaved by PLP1. We demonstrate that exchange of CS1 and/or CS2 with the CS3 p4-p1 amino acids in engineered MHV mutants switches specificity from PLP1 to PLP2 at CS2, but not at CS1, and results in altered protein processing and virus replication. Thus, the p4-p1 residues are necessary for PLP2 processing but require a specific protein or cleavage site context for optimal PLP recognition and cleavage.Coronaviruses are positive-strand RNA viruses that translate their first open reading frames (ORF1a and ORF1b) into polyproteins that are processed by viral proteases into intermediate and mature nonstructural proteins (nsp1 to -16) (Fig. ​(Fig.11 A) (4, 7, 17, 20). nsp1, -2, and -3 are liberated at cleavage sites (CSs) between nsp1-2 (CS1), nsp2-3 (CS2), and nsp3-4 (CS3) by one or two papain-like protease (PLP) activities encoded within nsp3 (1, 2, 12, 13, 15) (Fig. ​(Fig.1B).1B). Murine hepatitis virus (MHV) and human coronavirus 229E (HCoV-229E) use two PLPs (PLP1 and PLP2) to process at CS1 to -3, while severe acute respiratory syndrome coronavirus (SARS-CoV) and avian infectious bronchitis virus (IBV) use a single PLP each (PLpro and PLP2, respectively) (10, 20, 25, 26). The factors determining the evolution and use of one versus two PLPs by different coronaviruses for processing of nsp1, -2, and -3 are unknown. Mutations at MHV CSs or within PLP1 alter replication and protein processing in surprising ways (8, 13). Loss of processing at MHV CS1 and CS2 by CS deletion or mutation results in changes in the timing and extent of virus replication. Inactivation of MHV PLP1 is more detrimental for virus replication than deletion of CS1 and CS2 or than inactivation of PLP1 combined with the CS deletions, even though not all of the mutant viruses process at CS1 or CS2 or display similar protein processing phenotypes. In contrast to MHV results, the HCoV-229E PLP1 and PLP2 have both been shown to process at CS1 and CS2, albeit at different efficiencies (Fig. ​(Fig.1B)1B) (24). Finally, the single SARS-CoV PLP2 homolog (PLpro) mediates efficient processing at CS1 to -3, each of which has an upstream position 4-Leu-X-Gly-Gly-position 1 (p4-LXGG-p1) amino acid motif implicated in PLpro processing (10, 16, 18). MHV possesses a p4-LXGG-p1 sequence only at CS3 and is cleaved by PLP2. These results suggest that p4-LXGG-p1 may be the critical determinant of recognition by PLP2/PLpro, but this hypothesis has not been tested in studies of replicating virus. Thus, it remains unknown whether the differences in PLP/CS recognition and processing are determined by the proximal p4-p1 residues (22).Open in a separate windowFIG. 1.MHV replicase organization, coronavirus PLP-mediated processing, and experimental design of cleavage site replacement viruses. (A) ORF1 of MHV genome RNA is shown, with overlapping ORF1a and ORF1b. The ORF1ab polyprotein is shown with nonstructural proteins (nsp1 to -16) indicated by vertical lines and numbers. Viral papain-like protease domains in nsp3 are shown as a white box containing black letters (PLP1) and a black box containing white letters (PLP2), and the nsp5 protease (3CLpro) is indicated as a gray box with a white number. Cleavage sites for PLP1 (CS1 and CS2 [shown as white arrowheads]), PLP2 (CS3 [shown as a black arrowhead]), and nsp5 (CS4 to -14 [shown as gray arrowheads]) are indicated. (B) The organization of nsp1 to nsp4 is shown for representative coronaviruses. PLPs are indicated, with the hatched box in IBV indicating a probable catalytically inactive remnant of PLP1. Processing events that were confirmed as occurring in vitro or during infection are shown by arrows with solid lines and large arrowheads, indicating single or dominant protease activity. The dashed lines and small arrowheads indicate minor or secondary cleavage activities. The CS amino acid sequences from position 4 (p4) to p1′ are shown for each CS, with a space and arrow representing the site of proteolytic processing. (C) The CS substitution viruses were engineered to replace the original CS amino acid sequences at CS1 and/or CS2 with that of the CS3 amino acid sequence p4-LKGG-p1. Both CS substitutions were also engineered into a catalytically inactive PLP1 (P1ko) background. PLPs are shown as numbers in boxes within nsp3. Engineered catalytically inactivated PLP1 is shown as a hatched box. Arrowheads indicate cleavage events of the WT virus and are linked to the enzyme predicted to mediate processing at the CS, as indicated by white boxes containing black characters (PLP1) or black boxes containing white characters (PLP2). The p4 through p1 amino acid residues for each CS are shown below each diagram. White and black vertical bars show the respective predicted PLP1 and PLP2 cleavage sites. Engineered substitutions are indicated in bold characters. Asterisks indicate engineered mutant genomes that could not be recovered as infectious virus.In this study, we used MHV as a model to test whether PLP/CS specificities could be switched by an exchange of CS amino acid sequences and to determine the impact of CS exchange on protein processing and virus replication. Replacement of the CS3 p4-LKGG-p1 at CS2, but not at CS1, was sufficient for a switch in protease specificity from PLP1 to PLP2. Some combinations of CS exchange could not be recovered with inactive PLP1, and recovered mutant viruses had altered protein processing and/or impaired growth compared to the wild type (WT). The results confirm that p4-LXGG-p1 amino acid sequences are necessary determinants of cleavage by PLP2 but also indicate that a larger cleavage site or a different protein context is required for efficient recognition and processing. Finally, the results support the conclusion that complex relationships with respect to the timing and extent of PLP/CS interactions are essential for successful replication and, likely, for virus fitness.     

A novel multisite confocal system for rapid Ca2+ imaging from submicron structures in brain slices

In brain slices, resolving fast Ca²⁺ fluorescence signals from submicron structures is typically achieved using 2‐photon or confocal scanning microscopy, an approach that limits the number of scanned points. The novel multiplexing confocal system presented here overcomes this limitation. This system is based on a fast spinning disk, a multimode diode laser and a novel high‐resolution CMOS camera. The spinning disk, running at 20 000 rpm, has custom‐designed spiral pattern that maximises light collection, while rejecting out‐of‐focus fluorescence to resolve signals from small neuronal compartments. Using a 60× objective, the camera permits acquisitions of tens of thousands of pixels at resolutions of ~250 nm per pixel in the kHz range with 14 bits of digital depth. The system can resolve physiological Ca²⁺ transients from submicron structures at 20 to 40 μm below the slice surface, using the low‐affinity Ca²⁺ indicator Oregon Green BAPTA‐5N. In particular, signals at 0.25 to 1.25 kHz were resolved in single trials, or through averages of a few recordings, from dendritic spines and small parent dendrites in cerebellar Purkinje neurons. Thanks to an unprecedented combination of temporal and spatial resolution with relatively simple implementation, it is expected that this system will be widely adopted for multisite monitoring of Ca²⁺ signals.      

Single molecule localization deep within thick cells; a novel super‐resolution microscope

A novel 3D imaging system based on single‐molecule localization microscopy is presented to allow high‐accuracy drift‐free (<0.7 nm lateral; 2.5 nm axial) imaging many microns deep into a cell. When imaging deep within the cell, distortions of the point‐spread function result in an inaccurate and very compressed Z distribution. For the system to accurately represent the position of each blink, a series of depth‐dependent calibrations are required. The system and its allied methodology are applied to image the ryanodine receptor in the cardiac myocyte. Using the depth‐dependent calibration, the receptors deep within the cell are spread over a Z range that is many hundreds of nanometers greater than implied by conventional analysis. We implemented a time domain filter to detect overlapping blinks that were not filtered by a stringent goodness of fit criterion. This filter enabled us to resolve the structure of the individual (30 nm square) receptors giving a result similar to that obtained with electron tomography.

High‐accuracy deep imaging of the ryanodine receptor in the cardiac myocyte, using single‐molecule localization microscopy. Depth‐dependent calibrations are performed for accurate depth localization. The optical design featuring two independent and variable focal planes allows real‐time feedback for drift‐free deep imaging.     

Automated quantitative cytological analysis using portable microfluidic microscopy

In this article, a portable microfluidic microscopy based approach for automated cytological investigations is presented. Inexpensive optical and electronic components have been used to construct a simple microfluidic microscopy system. In contrast to the conventional slide‐based methods, the presented method employs microfluidics to enable automated sample handling and image acquisition. The approach involves the use of simple in‐suspension staining and automated image acquisition to enable quantitative cytological analysis of samples. The applicability of the presented approach to research in cellular biology is shown by performing an automated cell viability assessment on a given population of yeast cells. Further, the relevance of the presented approach to clinical diagnosis and prognosis has been demonstrated by performing detection and differential assessment of malaria infection in a given sample.

     

Self-Navigation with Compressed Sensing for 2D Translational Motion Correction in Free-Breathing Coronary MRI: A Feasibility Study

Purpose

Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based self-navigation technique is proposed that uses “sub-images” and compressed sensing (CS) to obtain translational motion correction in 2D. The method was preliminarily implemented as a 2D technique and tested for feasibility for targeted coronary imaging.

Methods

During a 2D segmented radial k-space data acquisition, heavily undersampled sub-images were reconstructed from the readouts collected during each cardiac cycle. These sub-images may then be used for respiratory self-navigation. Alternatively, a CS reconstruction may be used to create these sub-images, so as to partially compensate for the heavy undersampling. Both approaches were quantitatively assessed using simulations and in vivo studies, and the resulting self-navigation strategies were then compared to conventional navigator gating.

Results

Sub-images reconstructed using CS showed a lower artifact level than sub-images reconstructed without CS. As a result, the final image quality was significantly better when using CS-assisted self-navigation as opposed to the non-CS approach. Moreover, while both self-navigation techniques led to a 69% scan time reduction (as compared to navigator gating), there was no significant difference in image quality between the CS-assisted self-navigation technique and conventional navigator gating, despite the significant decrease in scan time.

Conclusions

CS-assisted self-navigation using 2D translational motion correction demonstrated feasibility of producing coronary MRA data with image quality comparable to that obtained with conventional navigator gating, and does so without the use of additional acquisitions or motion modeling, while still allowing for 100% scan efficiency and an improved ease-of-use. In conclusion, compressed sensing may become a critical adjunct for 2D translational motion correction in free-breathing cardiac imaging with high spatial resolution. An expansion to modern 3D approaches is now warranted.     

Ghrelin regulates phasic dopamine and nucleus accumbens signaling evoked by food‐predictive stimuli

Environmental stimuli that signal food availability hold powerful sway over motivated behavior and promote feeding, in part, by activating the mesolimbic system. These food‐predictive cues evoke brief (phasic) changes in nucleus accumbens (NAc) dopamine concentration and in the activity of individual NAc neurons. Phasic fluctuations in mesolimbic signaling have been directly linked to goal‐directed behaviors, including behaviors elicited by food‐predictive cues. Food‐seeking behavior is also strongly influenced by physiological state (i.e., hunger vs. satiety). Ghrelin, a stomach hormone that crosses the blood‐brain barrier, is linked to the perception of hunger and drives food intake, including intake potentiated by environmental cues. Notwithstanding, whether ghrelin regulates phasic mesolimbic signaling evoked by food‐predictive stimuli is unknown. Here, rats underwent Pavlovian conditioning in which one cue predicted the delivery of rewarding food (CS+) and a second cue predicted nothing (CS?). After training, we measured the effect of ghrelin infused into the lateral ventricle (LV) on sub‐second fluctuations in NAc dopamine using fast‐scan cyclic voltammetry and individual NAc neuron activity using in vivo electrophysiology in separate groups of rats. LV ghrelin augmented both phasic dopamine and phasic increases in the activity of NAc neurons evoked by the CS+. Importantly, ghrelin did not affect the dopamine nor NAc neuron response to the CS?, suggesting that ghrelin selectively modulated mesolimbic signaling evoked by motivationally significant stimuli. These data demonstrate that ghrelin, a hunger signal linked to physiological state, can regulate cue‐evoked mesolimbic signals that underlie food‐directed behaviors.

     

Diaphragm‐based optical fiber sensor for pulse wave monitoring and cardiovascular diseases diagnosis

Arterial pulse wave has been considered as a vital sign in assessment of cardiovascular diseases. Noninvasive pulse sensor with compact structure, immunity to electro‐magnetic interference and high sensitivity is the research focus in recent years. While, optical fiber biosensor is a competitive option to meet these needs. Here, a diaphragm‐based optical fiber pulse sensor was proposed to achieve high‐precision radial pulse wave monitoring. A wearable device was developed, composed of a sports wristband and an aluminum diaphragm‐based optical fiber sensor tip of only 1 cm in diameter, which was highly sensitive to the weak acoustic signal. In particular, coherent phase detection was adopted to improve detection signal‐to‐noise ratio, so as to recover the high‐fidelity pulse waveforms. A clinical experiment was carried out to detect and morphological analyze the pulse waveforms of four subjects, the results of which preliminarily demonstrated the feasibility of pulse diagnosis method. The proposed pulse fiber sensor provides a comfortable way for pulse diagnosis, which is promising in early cardiovascular diseases indicating.     

Contact‐free endoscopic photoacoustic sensing using speckle analysis

Photoacoustic endoscopy (PAE) is an emerging imaging modality, which offers a high imaging penetration and a high optical contrast in soft tissue. Most of the developed endoscopic photoacoustic sensing systems use miniaturized contact ultrasound transducers or complex optical approaches. In this work, a new fiber‐based detection technique using speckle analysis for contact‐free signal detection is presented. Phantom and ex vivo experiments are performed in transmission and reflection mode for proof of concept. In summary, the potential of the technique for endoscopic photoacoustic signal detection is demonstrated. The new technique might help in future to broaden the applications of PAE in imaging or guiding minimally invasive laser procedures.      

Dual fluorescence nanoconjugates for ratiometric detection of reactive oxygen species in inflammatory cells

Reactive oxygen species (ROS) are largely produced under pathological situations. To understand the etiology of disease, it is urgent to develop efficacious probes for detecting ROS. Herein, a novel nanoconjugate detection system constructed from gold clusters (AuNCs) and quantum dots (QDs) for fluorescence ratiometric‐sensing ROS was reported. Upon interacting with ROS, the red emission fluorescence (645 nm from QDs) in the detection system gradually decreased, while the green fluorescence (480 nm from AuNCs) changed little. The fluorescence ratio at the 2 wavelengths (I_{480 nm}/I_{645 nm}) was linearly correlated with the ROS, which could be used for the real‐time ratiometric detection of ROS. The developed nanoconjugates could be applied to monitor the ROS in inflammatory cells for its ability of generating abundant ROS and uptaking ability to nanoparticles. The stimulated ROS in inflammatory cells were monitored by AuNC‐QD and the results were consistent with the traditional 2′, 7′‐dichlorofluorescin diacetate method, confirming the reliability of the developed method. Featured with the merits of higher photostability, low background, high accuracy of ratiometric detection, the AuNC‐QD conjugate demonstrated its potential to be the probe for real‐time ROS detection in inflammatory cells.      

Smart textile for respiratory monitoring and thoraco‐abdominal motion pattern evaluation

The use of wearable systems for monitoring vital parameters has gained wide popularity in several medical fields. The focus of the present study is the experimental assessment of a smart textile based on 12 fiber Bragg grating sensors for breathing monitoring and thoraco‐abdominal motion pattern analysis. The feasibility of the smart textile for monitoring several temporal respiratory parameters (ie, breath‐by‐breath respiratory period, breathing frequency, duration of inspiratory and expiratory phases), volume variations of the whole chest wall and of its compartments is performed on 8 healthy male volunteers. Values gathered by the textile are compared to the data obtained by a motion analysis system, used as the reference instrument. Good agreement between the 2 systems on both respiratory period (bias of 0.01 seconds), breathing frequency (bias of ?0.02 breaths/min) and tidal volume (bias of 0.09 L) values is demonstrated. Smart textile shows good performance in the monitoring of thoraco‐abdominal pattern and its variation, as well.      

Identification and characterization of bladder cancer by low‐resolution fiber‐optic Raman spectroscopy

Raman spectroscopy has been proved to be a promising diagnostic technique for various cancers detection. A major drawback for its clinical translation is the intrinsic weakness of Raman effects. Highly sensitive equipment and optimal measurement conditions are generally applied to overcome this drawback. However, these equipment are usually bulky, expensive and may also be easily influenced by surrounding environment. In this preliminary work, a low‐resolution fiber‐optic Raman sensing system is applied to evaluate the diagnostic potential of Raman spectroscopy to identify different bladder pathologies ex vivo. A total number of 262 spectra taken from 32 bladder specimens are included in this study. These spectra are categorized into 3 groups by histopathological analysis, namely normal bladder tissues, low‐grade bladder tumors and high‐grade bladder tumors. Principal component analysis fed artificial neural network are used to train a classification model for the spectral data with 10‐fold cross‐validation and an overall prediction accuracy of 93.1% is obtained. The sensitivities and specificities for normal bladder tissues, low‐grade bladder tumors and high‐grade bladder tumors are 88.5% and 95.1%, 90.3% and 98%, and 97.5% and 96.4%, respectively. These results demonstrate the potential of using a low‐resolution fiber‐optic Raman system for in vivo bladder cancer diagnosis.      

Quantitative depolarization measurements for fiber‐based polarization‐sensitive optical frequency domain imaging of the retinal pigment epithelium

A full quantitative evaluation of the depolarization of light may serve to assess concentrations of depolarizing particles in the retinal pigment epithelium and to investigate their role in retinal diseases in the human eye. Optical coherence tomography and optical frequency domain imaging use spatial incoherent averaging to compute depolarization. Depolarization depends on accurate measurements of the polarization states at the receiver but also on the polarization state incident upon and within the tissue. Neglecting this dependence can result in artifacts and renders depolarization measurements vulnerable to birefringence in the system and in the sample. In this work, we discuss the challenges associated with using a single input polarization state and traditional depolarization metrics such as the degree‐of‐polarization and depolarization power. We demonstrate quantitative depolarization measurements based on Jones vector synthesis and polar decomposition using fiber‐based polarization‐sensitive optical frequency domain imaging of the retinal pigment epithelium in a human eye.      

Wearable optical resolution photoacoustic microscopy

Optical resolution photoacoustic microscopy (ORPAM) is an emerging imaging technique, which has been extensively used to study various brain activities and disorders of the anesthetized/restricted rodents with a special focus on the morphological and functional visualization of cerebral cortex. However, it is challenging to develop a wearable photoacoustic microscope, which enables the investigation of brain activities/disorders on freely moving rodents. Here, we report a wearable and robust optical resolution photoacoustic microscope (W‐ORPAM), which utilizes a small, light, stable and fast optical scanner. This wearable imaging probe features high spatiotemporal resolution, large field of view (FOV) and easy assembly as well as adjustable optical focus during the in vivo experiment, which makes it accessible to image cerebral cortex activities of freely moving rodents. To demonstrate the advantages of this technique, we used W‐ORPAM to monitor both morphological and functional variations of vasculature in cerebral cortex during the induction of ischemia and reperfusion of a freely moving rat.     

Multi‐ATOM: Ultrahigh‐throughput single‐cell quantitative phase imaging with subcellular resolution

A growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost‐effective and label‐free cellular assays, which provides useful insights into understanding the biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single‐cell precision to define cell identities in a large and heterogeneous population of cells—hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multiplexed asymmetric‐detection time‐stretch optical microscopy (multi‐ATOM) that captures and processes quantitative label‐free single‐cell images at ultrahigh throughput without compromising subcellular resolution. We show that multi‐ATOM, based upon ultrafast phase‐gradient encoding, outperforms state‐of‐the‐art QPI in permitting robust phase retrieval at a QPI throughput of >10 000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi‐ATOM for large‐scale, label‐free, multivariate, cell‐type classification (e.g. breast cancer subtypes, and leukemic cells vs peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi‐ATOM could empower new strategies in large‐scale biophysical single‐cell analysis with applications in biology and enriching disease diagnostics.      

Surface functionalization allowing repetitive use of optical sensors for real‐time detection of antibody‐bacteria interaction

In this study, sensor surface functionalization allowing the repetitive use of a sensing device was evaluated for antibody‐based detection of living bacteria using an optical planar Bragg grating sensor. To achieve regenerable immobilization of bacteria specific antibodies, the heterobifunctional cross‐linker N‐succinimidyl 3‐(2‐pyridyldithio) propionate (SPDP) was linked to an aminosilanized sensor surface and subsequently reduced to expose sulfhydryl groups enabling the covalent conjugation of SPDP‐activated antibodies via disulfide bonds. The immobilization of a capture antibody specific for Staphylococcus aureus on the sensor surface as well as specific binding of S. aureus could be monitored, highlighting the applicability of optical sensors for the specific detection of large biological structures. Reusability of bacteria saturated sensors was successfully demonstrated by cleaving the antibody along with bound bacteria through reduction of disulfide bonds and subsequent re‐functionalization with activated antibody, resulting in comparable sensitivity towards S. aureus.