The utility of sternum in creating a biological profile: A review and future directions.

This review delves into the forensic utility of the sternum in creating a biological profile, focusing on sex, stature, and age estimation. Emphasizing the sternum's significance in challenging scenarios, the study supports the combined length of the manubrium and sternal body as a crucial indicator in sex and stature estimation. However, it highlights the need for caution in applying findings across diverse populations and questions the reliability of Hyrtl's law. Age estimation, primarily based on morphological changes and ossification ages, is explored, with one study showing promise but requiring further validation. While acknowledging the sternum's advantages, the review underscores potential limitations and the absence of specific studies on ancestry estimation, leaving this aspect open for future research. In conclusion, the review provides a comprehensive overview of the sternum's forensic applications, urging continued research to enhance accuracy and applicability.

3D far-field Lidar sensing and computational modeling for human identification.

3D sensors offer depth sensing that may be used for task-specific data processing and computational modeling. Many existing methods for human identification using 3D depth sensors primarily focus on Kinect data, where the range is very limited. This work considers a 3D long-range Lidar sensor for far-field imaging of human subjects in 3D Lidar full motion video (FMV) of "walking" action. 3D Lidar FMV data for human subjects are used to develop computational modeling for automated human silhouette and skeleton extraction followed by subject identification. We propose a matrix completion algorithm to handle missing data in 3D FMV due to self-occlusion and occlusion from other subjects for 3D skeleton extraction. We further study the effect of noise in the 3D low resolution far-field Lidar data in human silhouette extraction performance of the model. Moreover, this work addresses challenges associated with far-field 3D Lidar including learning with a limited amount of data and low resolution. Moreover, we evaluate the proposed computational algorithm using a gallery of 10 subjects for human identification and show that our method is competitive with the state-of-the-art OpenPose and V2VPose skeleton extraction models using the same dataset for human identification.

Phylogenetic analysis of mysterious burials revealed in the former penal labor camp Treblinka I.

The purpose of this paper is to formulate recommendations for the disclosure of biological traces in the laboratory and the handling of forensic evidence submitted for identification tests, recommended by the Polish Speaking Working Group of the International Society for Forensic Genetics. The paper organizes the knowledge of the most relevant stages of preliminary analysis of biological traces based on both literature sources and those resulting from years of research practice. Recommendations formulated in the course of multi-stage expert consultations contained in this study should be used in the development of laboratory procedures applied during the execution. * The research is part of doctoral dissertation of Dagmara Lisman entitled "Genetic analysis of a skeleton site revealed during the works on the premises of the former German Forced Labor Camp Treblinka I."

Sex estimation in the South-East Asian population: A systematic review.

INTRODUCTION: Sex estimation is crucial in forensic anthropology. In situations such as mass disasters, and forensic anthropology cases, sex estimation is a very important initial step in the disaster victim identification process. Literature has acknowledged that sex estimation is population-specific. However, sex estimation standards in South-East Asian populations are limited, leading to the usage of most Thais discriminant function equations on sex estimation by other South-East Asian countries including Malaysia. This systematic review was conducted to summarise the findings of sex estimation studies in South-East Asian countries. MATERIALS AND METHODS: A systematic literature search was performed through the SCOPUS database and Web of Science (WOS) database for relevant studies between 2014 and 2022. All published articles that are related to sex estimation from different types of bone, methods, landmarks, and sample sources (i.e., photographs, dry bones, and CT images) were included in this review. The main inclusion criteria were studies on (i) sex estimation; (ii) in South-East Asian populations; (iii) between the years 2014 and 2022; and (iv) in English. RESULTS: The literature search identified 30 potentially relevant studies, of which 15 publications met all the inclusion criteria. From those research, 13 studies were related to the Thai population and two to the Malaysian population. Only one study was based on morphological traits, while the rest were based on a morphometric approach. CONCLUSION: All studies found that sex estimation is populationspecific. Therefore, further research is recommended to explore more on population-specific sex estimation using different parts of bone.

Age Estimation Based on Computed Tomography Analysis of the Scapula.

Background and Objectives: Age estimation from skeletal remains and in living individuals is an important issue for human identification, and also plays a critical role in judicial proceedings for migrants. Forensic analysis of ossification centers is the main evaluation method for age estimation, and ossification degree can be determined using computed tomography analysis. The purpose of this study is to investigate the applicability of CT (computed tomography) in the analysis of left scapula ossification centers, for forensic age estimation in Turkish society. Materials and Methods: We analyzed six ossification centers of the left scapula and these ossification centers are the coracoid, subcoracoid, coracoid apex, acromial, glenoid, and inferior angle ossification centers. A pediatric radiologist analyzed these six ossification centers of the scapula by using a staging method defined by Schmeling et al. in 2004. Two months after the first assessment, 20 randomly selected cases was reanalyzed by the first observer and by another pediatric radiologist. Correlation between the age and ossification stage was assessed using Spearman's nonparametric correlation test. Linear regression analysis was performed using a backwards model. Cohen's kappa coefficient was used for evaluating interobserver and intraobserver variability. Results: In this retrospective study, 397 (248 male and 149 female) cases were evaluated. Ages ranged between 7.1 and 30.9. The mean age was 19.83 ± 6.49. We determined a positive significant correlation between the age and the ossification stages of ossification centers analyzed in both sexes. In each ossification center, except inferior angle, all of the stage 1 and 2 cases in both sexes were under 18 years old. Intraobserver and interobserver evaluations showed that reproducibility and consistency of the method was relatively good. Conclusions: The present study indicated that CT analysis of scapula ossification centers might be helpful in forensic age assessment of living individuals and dry bones.

Considerations for age estimation accuracy: Method-derived outcomes and practitioner interpretations.

Recent research observed 92% accuracy for age-at-death estimations by U.S. forensic anthropologists. The present study compares this case report level accuracy to method level accuracy for the most commonly used methods in U.S. casework, drawing from the Forensic Anthropology Database for Assessing Methods Accuracy (FADAMA). Method application rate (i.e., how often a method is used in casework) was analyzed for n = 641 cases and identified 15 methods with an application rate >45 cases, and the present study focused further analyses on these 15 methods. Of the 15, only four yielded accuracies greater than or equal to the 92% documented for case-report level accuracy. The other 11 methods produced accuracy rates ranging from 54% to 91%, with six of these below 70% This disconnect between highly accurate age estimations at the case report level compared to the poor performance at method level suggests that practitioner interpretation and synthesis of the methods' outcomes is a critical step for increasing the accuracy rates of the age estimations as reported on the final case report. This inference was further supported by the study's results which indicated that practitioner interpretations of frequently used method combinations improve accuracy and age range width of age estimation. The study also performed a Fisher's Exact test to assess whether case report-level accuracy differed with the number of aging methods used in a case, and found no significant differences.

Utilizing augmented reality for reconstruction of fractured, fragmented and damaged craniofacial remains in forensic anthropology.

Forensic anthropologists are often confronted with human remains that have been damaged due to trauma, fire, or postmortem taphonomic alteration, frequently resulting in the fracture and fragmentation of skeletal elements. The augmented reality (AR) technology introduced in this paper builds on familiar 3D visualization methods and utilizes them to make three dimensional holographic meshes of skeletal fragments that can be manipulated, tagged, and examined by the user. Here, CT scans, neural radiance fields (NeRF) artificial intelligence software, and Unreal Engine production software are utilized to construct a three-dimensional holographic image that can be manipulated with HoloLens™ technology to analyze the fracture margin and reconstruct craniofacial elements without causing damage to fragile remains via excessive handling. This allows forensic anthropologists a means of assessing aspects of the biological profile and traumatic injuries without risking further damage to the skeleton. It can also be utilized by students and professional anthropologists to practice refitting before reconstructing craniofacial fragments if refitting is necessary. Additionally, the holographic images can be used to explain complicated concepts in a courtroom without the emotional response related to using bony elements as courtroom exhibits.

The forensic imaging technique of age progression used within missing people cases: The Italian Missing Children association realizing age progression for Missing Child Kenya.

The age progression technique allows to update identification photos of individuals who have been missing for years. This method is based on the study of the facial variation and on the dynamics of facial growth. Knowledge about changes in the distribution of facial fat and the tone of the cartilage allows realistic predictions of the facial appearance after many years. Beside these elements, age progression is also supported by similar characters between family members. This is why photos of the missing and family members are used to create an age progression, making the new identikit accurate. Non-profit associations are crucial for the dissemination of information on the problem of missing persons. In Italy, the Italian Missing Children association provides for free an age progression service with the support of forensic anthropology. With the activation of a protocol, consisting of guidelines, and a form for the request for age progression by family members, the Italian Missing Children has started a collaboration with Missing Child Kenya. It allowed to disseminate up-to-date photos of the presumed current appearance of the missing children in Kenya. Thus, in the present study some cases are reported, in which age progression technique was applied. The photos provided by Italian Missing Children were shown in video documentaries made by Missing Child Kenya, allowing to continue the dissemination of age progression photo during the Covid quarantines and to keep the population active in the search for the missing.

Facial soft-tissue thickness in children: A study of a CTBC Brazilian sample.

As an auxiliary method in the process of human identification, forensic facial approximation (FFA) is an important tool for identifying unknown human bodies whose remains do not present the necessary traceability to any antemortem data collection. Specific characteristics are necessary when addressing children aged between 6 and 10 years, who have little sexual differentiation and a mixed dentition. Due to the chronology of eruption of the permanent second molars in this population, it is not possible to measure facial soft-tissue thickness (FSTT) from specific landmarks such as supra and infra M2. The objective of this research was to report the method for measuring the average FSTT of 32 landmarks adapting the method for adults replacing the landmarks at the upper and lower second molars (Supra M2 and Infra M2) in children up to 10 years of age for a measurement using the deciduous second molars as reference. We found statistical differences for some points, considering the variables of age and sex, but with a maximum difference of 2 mm, which allows the use of a single FSTT table. The deciduous teeth can replace the reference of the thicknesses at the supra and infra M2 landmarks. In addition to the new FSTT data for children in Brazil, we concluded that the proposed adaptation to the deciduous M2 points can be applied to obtain soft-tissue data for 32 facial points.

Determinação do sexo a partir da morfometria geométrica e mensurações em imagens tridimensionais de dentes caninos / Sex determination from geometric morphometry and measurements in three-dimensional images of canine teeth

O presente estudo teve como objetivo avaliar a determinação do sexo por meio da análise geométrica e de mensurações a partir de imagens tridimensionais de dentes caninos, advindas de escaneamento intraoral, no Autodesk MeshMixer, bem como elaborar um roteiro prático para servir de guia na manipulação e coleta de dados nesse software. Trata-se de um estudo do tipo cego e transversal, dividido em duas etapas. Inicialmente, foram selecionadas imagens de 127 caninos (65 femininos e 63 masculinos) para a análise morfométrica geométrica, utilizando a marcação de 50 pontos, distribuídos em 27 pontos para contorno e 23 pontos para delimitação da forma das superfícies vestibular e lingual. Cada ponto de referência recebeu um valor para as coordenadas x, y e z, representando a sua posição. Na análise estatística dos dados foi utilizado um software específico para análise morfométrica geométrica, o MorphoJ, no qual foram importados os dados e submetidos à Análise Ajustada de Procrustes, Análise Discriminante e Análise da Variação Canônica. Não foram exibidas diferenças significativas para distribuição do sexo nas analises anteriores. Ainda, os dados relativos ao tamanho do centroide gerado no MorphoJ foram importados para o IBM SPSS Statistics 22.0 e submetidos ao teste t student, resultando em uma diferença estatística para o sexo. Para a aplicabilidade das mensurações digitais, foram utilizadas imagens de 345 caninos (191 femininos e 154 masculinos). Foram realizadas medidas das distâncias mesiodistais, vestibulolinguais, cervicoincisais (altura) e distâncias intercaninas de 5 pontos estabelecidos em cada canino (cúspide, cervical por vestibular e lingual, ponto máximo mesial e lingual). Todas as médias foram maiores para o sexo masculino e, com exceção da altura do elemento 33, apresentaram diferenças significativas para o sexo (p<0,05). As mensurações mesiodistais, vestibulolinguais e intercaninas (com exceção do ponto cervical por lingual), apresentaram uma boa acurácia, representadas por valores de áreas sobre a curva ROC maiores do que 0,7. O Autodesk MeshMixer apresentou-se como um ótimo auxiliar e de grande contribuição para análises dentro da Antropologia Forense. Apesar dos caninos serem elementos altamente dimórficos, para a análise morfométrica, não foram exibidas diferenças estatísticas na análise discriminante. Porém, o tamanho do centroide apresentou diferenças estatísticas e com médias maiores para o sexo masculino. As medidas realizadas nos dentes caninos apresentaram diferenças estatísticas para o sexo, com boas classificações na análise discriminante e com boas predições sexuais de acordo com os valores de especificidade e sensibilidade. A aplicabilidade de técnicas digitais de mensuração exibiu bons resultados, concordando esses dados obtidos com estudos que utilizaram as técnicas manuais de medida.

Quantitative color analysis of burned bone to predict DNA quantity, quality, and genotyping success.

Badly burned skeletal remains are commonly submitted to forensic laboratories for victim identification via DNA analysis methods. Burned skeletal remains present many challenges for DNA analysis as they can contain low amounts of DNA which can also be damaged and degraded, resulting in partial or no STR profiles. Therefore, a simple, but effective screening method that identifies which samples may provide the most successful STR or mtDNA typing results for identification would enable forensic laboratories to save time, money, and resources. One metric that can be used and a screening method is the color of burned bone, as bone color changes with exposure to fire as temperature and length of exposure increase. This research developed a quantitative screening method based on the surface color of burned bone. The different visual bone colors (light brown, dark brown, black, gray, and white) were quantified using the Commission on Illumination L*a*b color space. These values were then compared to DNA yield, STR, and mtDNA profile completeness to identify whether the L*a*b values can predict genotyping success. A Bayesian network was constructed to determine the probability of STR typing success, given a set of L*a*b values. Results demonstrated that samples with an a* value greater than or equal to one and b* value greater than eight (light brown and dark brown burned samples) were the most predictive of STR typing success and mtDNA typing success. A decision tree for processing burned bones was constructed based on the color value thresholds.

Comparing a common clavicle maturation-based age estimation method to ordinary regression analyses with quadratic and sex-specific interaction terms in adolescents.

Established methods of age estimation are based on correlating defined maturation stages of bony structures with tables representing the observed range of biological ages in the majority of cases. In this retrospective monocentric study in southwestern Germany, common age estimation methodology was assessed in n = 198 subjects at the age of 25 or younger by analyzing the influence of age, quadratic age, biological sex and age-sex interaction on the ossification stages of the medial epiphysis fugue. Three readers (ICC ≥ 0.81 for left/right side) evaluated routine care computed tomography images of the clavicle with a slice thickness of 1 mm. By using least square regression analyses, to determine the real biological age a quadratic function was determined corrected for the age estimated by established methods and sex (R2 = 0.6 each side), reducing the mean absolute error and root mean squared error in the age estimation of women (2.57 and 3.19) and men (2.57 and 3.47) to 1.54 and 1.82 for women, and 1.54 and 2.25 for men. In women, the medial clavicle epiphysis seem to fuse faster, which was particularly observable from approximately 18 years of age. Before that age, the estimation method was relatively close to the ideal correlation between assessed and real age. To conclude, the presented new method enables more precise age estimation in individuals and facilitates the determination and quantification of additional variables, quantifying their influence on the maturation of the medial clavicle epiphysis based on the established ossification stages.

Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years.

Computer Vision (CV)-based human identification using orthopantomograms (OPGs) has the potential to identify unknown deceased individuals by comparing postmortem OPGs with a comprehensive antemortem CV database. However, the growing size of the CV database leads to longer processing times. This study aims to develop a standardized and reliable Convolutional Neural Network (CNN) for age estimation using OPGs and integrate it into the CV-based human identification process. The CNN was trained on 50,000 OPGs, each labeled with ages ranging from 2 to 89 years. Testing included three postmortem OPGs, 10,779 antemortem OPGs, and an additional set of 70 OPGs within the context of CV-based human identification. Integrating the CNN for age estimation into CV-based human identification process resulted in a substantial reduction of up to 96% in processing time for a CV database containing 105,251 entries. Age estimation accuracy varied between postmortem and antemortem OPGs, with a mean absolute error (MAE) of 2.76 ± 2.67 years and 3.26 ± 3.06 years across all ages, as well as 3.69 ± 3.14 years for an additional 70 OPGs. In conclusion, the incorporation of a CNN for age estimation in the CV-based human identification process significantly reduces processing time while delivering reliable results.

[The experience of comparing reconstructions of the external appearance made on skulls with existing lifetime photographs]. / Opyt sopostavleniya rekonstruktsii vneshnego oblika, vypolnennykh po cherepam, s imeyushchimisya prizhiznennymi fotografiyami.

The conducted research is aimed at correcting the method of graphic reconstruction of the appearance based on the skull. The method is widely used in both anthropology and criminology. The Forensic Center of Ministry of Internal Affairs of Russia was sent the skulls for which there were lifetime photographs. The restoration of the appearance in the form of graphic reconstructions was carried out by students who completed the course of Anthropological reconstruction at the RSUH, under the guidance of Prof., head of the Laboratory E.V. Veselovskaya. Strictly after the restoration of the appearance was completed, lifetime photos were provided, on the basis of which the degree of similarity of the reconstruction with the original was assessed. The purpose of the experiment is to correct the method of graphic reconstruction of the appearance based on the skull and supplement it with new details. Anthropologists carried out gender and age determination of individuals for a more accurate representation of appearance. Based on the results of comparing lifetime photographic images with the performed reconstructions, it can bed that their overall satisfactory level of compliance is sufficient for correct identification. However, a number of inaccuracies have been identified. As a result, areas of the face have been identified that require further refinement of the method of anthropological reconstruction. So, the thickness, and especially the shape, of the lips turned out to be an unresolved problem. The size of the iris is an important physiognomic feature. It is recommended to clarify the definition of the skull of the lifetime physiognomic height of the face, the width of the nose and the distance between the nasolabial folds.

Evaluating postcranial macromorphoscopic traits to estimate population variation among modern South Africans.

Population overlap and the variation within and among populations have been globally observed but is often difficult to quantify. To achieve this, numerous different methods need to be explored and validated to assist with the creation of an accurate biological profile. The current lack of databases for postcranial macromorphoscopic traits indicates the need to further investigate if the method can be employed repeatably in a forensic context. The current study aimed to assess the prevalence of eleven postcranial macromorphoscopic traits in a South African sample. A total of 271 postcrania of adult black, coloured, and white South Africans were assessed. The intra- and inter-observer agreement ranged from fair to almost perfect except for the accessory transverse foramen of C1, which had poor agreement between observers. Only seven traits differed significantly between at least two of the groups. Univariate and multivariate random forest models were created to test the positive predictive performance of the traits to classify population affinity. The classification accuracies for the univariate models ranged from 33.3% to 53.0% and ranged from 54.6% to 62.1% for the multivariate models. Based on the variable importance, the traits assessing spinous process bifurcation were the most discriminatory variables. The results indicate that the postcranial MMS approach does not outperform current methods employed to estimate population affinity. Further research needs to be done for the method to have practical applicability for medicolegal casework in South Africa.

The Precision, Inter-Rater Reliability, and Accuracy of a Handheld Scanner Equipped with a Light Detection and Ranging Sensor in Measuring Parts of the Body-A Preliminary Validation Study.

BACKGROUND: Anthropometric measurements play a crucial role in medico-legal practices. Actually, several scanning technologies are employed in post-mortem investigations for forensic anthropological measurements. This study aims to evaluate the precision, inter-rater reliability, and accuracy of a handheld scanner in measuring various body parts. METHODS: Three independent raters measured seven longitudinal distances using an iPad Pro equipped with a LiDAR sensor and specific software. These measurements were statistically compared to manual measurements conducted by an operator using a laser level and a meterstick (considered the gold standard). RESULTS: The Friedman test revealed minimal intra-rater variability in digital measurements. Inter-rater variability analysis yielded an ICC = 1, signifying high agreement among the three independent raters. Additionally, the accuracy of digital measurements displayed errors below 1.5%. CONCLUSIONS: Preliminary findings demonstrate that the pairing of LiDAR technology with the Polycam app (ver. 3.2.11) and subsequent digital measurements with the MeshLab software (ver. 2022.02) exhibits high precision, inter-rater agreement, and accuracy. Handheld scanners show potential in forensic anthropology due to their simplicity, affordability, and portability. However, further validation studies under real-world conditions are essential to establish the reliability and effectiveness of handheld scanners in medico-legal settings.

Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification.

Nowadays, it is fascinating to engineer waste biomass into functional valuable nanomaterials. We investigate the production of hetero-atom doped carbon quantum dots (N-S@MCDs) to address the adaptability constraint in green precursors concerning the contents of the green precursors i.e., Tagetes erecta (marigold extract). The successful formation of N-S@MCDs as described has been validated by distinct analytical characterizations. As synthesized N-S@MCDs successfully incorporated on corn-starch powder, providing a nano-carbogenic fingerprint powder composition (N-S@MCDs/corn-starch phosphors). N-S@MCDs imparts astounding color-tunability which enables highly fluorescent fingerprint pattern developed on different non-porous surfaces along with immediate visual enhancement under UV-light, revealing a bright sharp fingerprint, along with long-time preservation of developed fingerprints. The creation and comparison of latent fingerprints (LFPs) are two key research in the recognition and detection of LFPs, respectively. In this work, developed fingerprints are regulated with an artificial intelligence program. The optimum sample has a very high degree of similarity with the standard control, as shown by the program's good matching score (86.94%) for the optimal sample. Hence, our results far outperform the benchmark attained using the conventional method, making the N-S@MCDs/corn-starch phosphors and the digital processing program suitable for use in real-world scenarios.

Análise de espessuras de tecidos moles faciais em uma amostra brasileira / Analysis of facial soft tissue thickness in a Brazilian sample

A reconstrução facial forense tem sido empregada como um importante recurso nos casos em que um corpo se encontra em estágio avançado de decomposição, mutilado ou esqueletizado. Sob essas circunstâncias, definir a identidade por métodos primários torna-se inviável. Simular uma face sobre uma estrutura óssea, de forma que essa reconstrução possibilite o reconhecimento por familiares e amigos, e, por fim, determinar a identidade positiva de alguém que se encontra desaparecido constitui uma técnica que as ciências forenses são capazes de proporcionar. As etapas que permitem que uma reconstrução facial forense ocorra de forma precisa dependem de dados como os de espessura de tecidos moles faciais, que são obtidos por diversas técnicas e são específicos para cada população, de modo que são necessários dados referentes à população brasileira. Neste trabalho, foram analisados 88 exames de tomografias computadorizadas de feixe cônico, obtidos junto ao banco de dados de uma instituição brasileira. Para a realização das medidas, foi utilizado o método proposto por Beaini em 2013. Os resultados apontaram espessuras de tecidos moles compatíveis com as encontradas por Beaini, fornecendo uma tabela atualizada de dados de espessuras de tecidos moles faciais de indivíduos brasileiros, para uso em reconstrução facial forense.

Forensic application of isotope ratio mass spectrometry (IRMS) for human identification.

Application of isotope ratio mass spectrometry (IRMS) to skeletal remains has become an important tool to investigate human behavior and history. Isotopic variations in collagen, enamel, and keratin reflect variations in an individual's diet and drinking water. Since food and water sources typically are geographically linked, isotope testing can assist in forensic identification by classifying remains to a likely geographic or population origin. If remains are commingled, differences in diet or geographic origin also can support their separation. The usefulness of IRMS in forensic science is dependent on the underlying quality and surety of the isotope test results; in other words, we need to understand their reliability in interpretations. To take ownership of isotopic data quality, we recommend asking a series of questions:Here, we use data collected during the buildout and accreditation of an isotope testing program at the Defense POW/MIA Accounting Agency (DPAA) to answer the above questions for the forensic application of IRMS for human identification. While our primary focus is on the preparation and analysis of bone collagen, the questions above should be considered whenever isotope testing is used in forensic casework. Whether the populations of interest are drugs or humans, olives or explosives, users need to evaluate their isotopic data and interpretations to ensure they are scientifically sound and legally defensible.

Forensic anthropologists and estimates of skeletal completeness: The impacts of training and experience.

Forensic anthropologists engage with numerous and diverse stakeholders in their casework. Regarding the recovery of human remains, these stakeholders may be interested in quantifying or qualifying the amount of remains recovered. How forensic anthropologists respond to such questions, whether verbally or in written reporting, has the potential to impact the trajectory of a case. However, communications about skeletal completeness are rarely discussed within the field. Current data-collection procedures recommend the use of inventories. This approach may be less feasible for complicated assemblages involving commingling or high degrees of fragmentation. Numerous methods exist to quantify the amount of skeletal remains present in complex or larger assemblages, but it remains unclear to what extent forensic anthropologists utilize these methods and whether factors like degree of expertise influence analysts' ability to report skeletal completeness consistently and precisely. A study was designed to examine differences between public and professional perceptions of skeletal completeness, presenting images of incomplete bones and skeletal remains. Survey participants were asked to assess the completeness of the remains in each image. Few patterns were observed regarding photographs of skeletal assemblages, but distinct differences were observed among individual bones between respondents with different degrees of expertise. These responses reflect potentially unexamined assumptions underlying assessments of incomplete bones and skeletal assemblages. This highlights the necessity of standardizing how we report estimates of completeness within the forensic anthropology community and how we discuss these results with external stakeholders. Completeness estimates must be either removed from reports and bench notes or annotated and cited clearly, as is standard with other aspects of forensic anthropological analysis. Several methods are summarized, with recommendations for integrating them into casework.